Negative image filter
Author: n | 2025-04-24
SDFI’s Negative Invert Filter, NIF is a software filter that first converts a color positive image to a color negative image, then the filter inverts the color values in a color negative image. App has a montage collection of Negative filters effects: cartoon filter, sketch filter, FEATURES: Negative photo maker Fast to Convert Image in Negative Image
Negative Image Filter – Convert Photos to Negatives
6,992 image memes with text descriptions, along with their sentiment labels. It’s pretty easy to import a Kaggle dataset directly into Google Colab, so I recommend you do that.We downloaded our dataset into a folder called memes-dataset and the directory structure of the dataset looks like this:The nested images folder contains the images of the memes, and the labels.csv file contains the image name, meme text, and the corresponding sentiment labels.The following script imports the labels.csv file in the pandas dataframe and displays the dataframe header.dataset = pd.read_csv("/content/memes-dataset/labels.csv")dataset.head()Output:You can see that the dataframe has four relevant columns: image_name, text_ocr, text_corrected, and overall_sentiment.The image_name column contains the names of the images; the text_ocr column contains the text extracted via an OCR (optical character recognizer.); the text_corrected column contains the manually corrected text of the memes, and the overall_sentiment column contains the sentiment labels.We will create a new column, image_path, in our dataset, which contains the complete path to the image file for each record in the dataset.We will also filter out any rows that have missing or empty values in the text_corrected column.Finally, we will filter the text_corrected, image_path, and overall_sentiment, columns and remove the remaining columns from our dataset.The following script performs the above tasks.image_folder_path = '/content/memes-dataset/images/images'dataset['image_path'] = dataset['image_name'].apply(lambda x: os.path.join(image_folder_path, x))dataset = dataset[dataset['text_corrected'].notna() & (dataset['text_corrected'] != '')]dataset = dataset.filter(["text_corrected", "image_path", "overall_sentiment"])print("==============================================")print(f'The shape of the dataset is: {dataset.shape}')print("==============================================")print(f'The number of sentiments in each category is:\n{dataset.overall_sentiment.value_counts()}')print("==============================================")dataset.head(10)Output:You can see that we have five categories of sentiments: very_positive, positive, neutral, negative, and very_negative. The dataset is highly imbalanced across these categories.Let’s print a sample meme along with its text and sentiment label.index = 523image_path = dataset["image_path"].iloc[index]sample_image = Image.open(image_path)sample_text = dataset["text_corrected"].iloc[index]sentiment = dataset["overall_sentiment"].iloc[index]print(sample_text)print(sentiment)sample_imageOutput:The next preprocessing step is to convert the sentiment labels into numeric values that our model can use. We will use the following mapping: very_positive -> 2 positive -> 2 neutral -> 1 negative -> 0 very_negative -> 0The above mapping will also reduce the number of classes from five to three by merging the very positive and positive classes and the very negative and negative classes. This mapping may make the task easier for our model, but it may also lose some information about the intensity of the sentiments. You can keep all five classes if you want.The following script applies the sentiment mapping to the overall_sentiment column. In the output, you can see the number of records for each sentiment
Negative Image Filter Convert Photos to Negatives
Determined by comparing the sentiment events found in the first half of the interaction to the sentiment found in the second half of the interaction. For this reason, the sentiment trend may be updated when additional follow-ups occur within the same interaction. Only the customer phrases of the transcript are analyzed to detect sentiment events. The agent phrases of the transcript are ignored in the sentiment trend calculation. There is a minimum number of customer phrases required for the sentiment trend to be calculated, usually around 6 or more customer phrases are required. For more information, see Sentiment analysis – What is the customer sentiment trend?. Sentiment trend values – There are 5 sentiment trend values. Events panel – Contains three lists (topics, positive and negative) of all the detected topic and sentiment markers together with their corresponding phrase. From the Events panel (located on the right side of the Transcript tab), you can click the preferred Event type to filter the lists to only display topics, positive sentiment markers, or negative sentiment markers. Click the word Events to select/deselect all of them. In addition, from the Events panel you can hover over the positive or negative sentiment marker and phrase to view a tooltip with the sentiment phrase.Note: Sentiment markers, the overall interaction sentiment, and the interaction sentiment trend are updated when new segments of the same interaction are retrieved by the system or when new phrases are added to the Sentiment feedback page. For more information, see Work with sentiment analysis.In the image below you can see the sentiment markers in the transcript, Events panel, and in the interaction overview waveform above the transcript. Click the image to enlarge.Negative image filter - The best filters for improving your
Anti Tar is a cigarette filter that claims to filter tar and improve airflow for cigarettes.Using the cigarette filter, you can purportedly protect your lungs from tar, reduce coughing, and relieve sore throats associated with cigarette smoke, among other perks.Does Anti Tar filter really work? Can you use Anti Tar to negate the bad effects of smoking? How does Anti Tar work? Find out everything you need to know about this smoking aid today in our review.What is Anti Tar?Anti Tar is a cigarette filtration system that claims to give you all of the benefits of smoking but fewer downsides.The filter is marketed to people who enjoy smoking but dislike smoking’s negative side effects like coughing and restricted breathing.Anti Tar consists of an AT470 triple filtration system (an upgrade on the company’s less powerful AT300 filtration system).The AT470 filtration system uses three layers to filter cigarette smoke before it enters your lungs. The three layers include cotton, a microporous filter, and nanobeads. The filters remove negative particles including tar from cigarette smoke, allowing you to enjoy smoking but with fewer negative effects.Anti Tar is exclusively available through AntiTar.com, where it’s priced at around $25 for a starter kit. All purchases are backed with a 60-day money-back guarantee.How Does Anti Tar Work?Anti Tar is a filtration system that you place on the mouthpiece of a cigarette or cigar.You attach Anti Tar to a cigarette, light the cigarette, then breathe through the Anti Tar filter. Cigarette smoke travels through the filter to your mouth, and the filter cleanses the smoke along the way.Instead of breathing in tar, you breathe in cleaner smoke. Anti Tar doesn’t claim to remove all tar from the cigarette totally, nor does it claim to reduce your risk of cancer or other negative effects. Instead, it simply filters tar and other contaminants from your cigarette, allowing for smoother and cleaner airflow while smoking.Of course, cigarettes already have a built-in filter. Why do you need a second filter?As Anti Tar’s makers explain, there are several benefits to using an additional filter while smoking. You can filter the tar without altering the taste.Anti Tar is also marketed to people who are trying to quit smoking. If you are trying to quit smoking, then you may still want to enjoy an occasional cigarette. Anti Tar lets you enjoy a cigarette with fewer harmful effects on your body.Each Anti Tar filter lasts for about 5 to 6 cigarettes. You’ll notice Anti Tar fills up with brown tar and other contaminants as you use the filter. Eventually, the filter is filled with these compounds, and you should stop using them.How Do Anti Tar’s Filters Work?Anti Tar has an AT470 triple filtration system that claims to offer maximum tar filtration while maintaining smooth airflow.Cigarette smoke passes through the three levels of filtration. When you breathe in through the end of the filter, you get smoother, cleaner smoke with significantly lower tar levels.The three levels of filtration include:High Fiber Cotton: The cotton filter blocks fine. SDFI’s Negative Invert Filter, NIF is a software filter that first converts a color positive image to a color negative image, then the filter inverts the color values in a color negative image. App has a montage collection of Negative filters effects: cartoon filter, sketch filter, FEATURES: Negative photo maker Fast to Convert Image in Negative ImageQupath Positive/negative cells : how to filter negative cells - Image
Operator: Use the site operator to search for images within a specific website or domain. For example, site:www.unsplash.com will retrieve images from Unsplash.com.Filetype operator: Use the filetype operator to search for images with a specific file type, such as filetype:jpg or filetype:png.Size operator: Use the size operator to search for images of a specific size. For example, size:large or size:extra large will retrieve high-resolution images.Using Keywords and DescriptionsIn addition to using search operators, using relevant keywords and descriptions can also help you find high-resolution images on Google. Here are some tips:Use specific keywords: Use specific keywords related to your search query to retrieve more relevant results. For example, if you’re searching for high-resolution images of a specific product, use keywords like product name, brand name, or product features.Use quotes: Use quotes to search for exact phrases. For example, "product name" will retrieve images that contain the exact phrase "product name".Use negative keywords: Use negative keywords to exclude irrelevant results from your search. For example, -logo will exclude images that contain the word "logo".Using Google’s Search FeaturesGoogle’s search features can also be used to find high-resolution images. Here are some features you can use:Image labels: Use the image labels feature to search for images with specific labels. For example, label:landscape will retrieve images that are labeled as landscapes.Image filters: Use the image filters feature to filter your search results by image type, color, and more.Google’s Visual Search: Use Google’s Visual Search feature to search for images by uploading an image or searching with a specific query.Additional Tips and TricksHere are some additional tips and tricks to help you find high-resolution images on Google:Use a reputable image search engine: While Google is a popular search engine, it’s not the only one. Use reputable image search engines like Bing, Flickr, or 500px to find high-resolution images.Check the image source: Always check the source of the image to ensure it’s royalty-free and high-resolution.Use image editing software: Use image editing software like Adobe Photoshop or GIMP to edit and enhance your high-resolution images.ConclusionFinding high-resolution images on Google can be a challenging task, but by usingNegative image filter - The best filters for improving your photos
You would process VueScan's output in an image adjustment program to make it look good; in particular, playing with curves will have a big effect on B&W tonality.Don't use Apple RGB as the output color space. Adobe RGB is a good, conservative choice.The screenshots show that your scanner supports multi-exposure. This is a really useful feature for extracting more detail from the dense parts of the negative; it's kind of like HDR for film scanners, scanning the image twice, first with normal exposure and second time overxposed. However, this isn't useful for all film frames. I judge whether to use it by looking at the raw histogram of the preview scan; if it's hitting the left edge hard then I do multi-exposure.VueScan has grain reduction in the Filter tab (you don't give us a screenshot of that). You may want to try it. I usually don't use it; if I wanted no grain I'd go for digital.Some of my B&W negative scans from VueScan, processed in Lightroom after scanning. The second two were shot at ISO 1600, so grain is no surprise: "}"> OP (unknown member) • New Member • Posts: 2 Re: Some thoughts In reply to sacundim • Jul 24, 2011 Yup, I have black and white slides! No idea how they made though, as they're not my own. I will be scanning color slides as well, though. Everything I have are positives, not negatives, if that makes any difference.I did try scanning using the 16bit greyscale setting,Negative Filter Images - Free Download on Freepik
Zoom BlurCreates a blur that simulates a fast camera zoom-in to a point. This filter causes rasterizationin 3D groups. For more information on rasterization, seeAbout Rasterization.Original imageZoom Blur appliedParameters in the InspectorLook:Sets the type of blur operation. This pop-up menu has two options:• Variable: The blur increases toward the edges of the image. This option is faster whenusing high blur values.• Uniform: The blur is consistent from the center of the image outward.Amount:Sets the radius of the blur. Drag the small circle (above the Center onscreencontrol) to adjust the amount of the blur in the Canvas.Swirl:Sets the quantity and direction of the swirl. Positive and negative values affect thedirection of the swirl.Center:Sets the position of the center of the blur. Drag the Center onscreen control toadjust its value in the Canvas.Crop:Sets whether the object is cropped at its original boundaries.Mix:Sets the percentage of the original image to be blended with the blurred image.Publish OSC:Publishes the filter’s onscreen controls in Final Cut Pro X. For moreinformation on creating content for use in Final Cut Pro, see Creating Templates forFinal Cut Pro X.HUD ControlsThe HUD contains the following controls: Look, Amount, and Swirl.Negative Filter Photos, Download The BEST Free Negative Filter
Relative horizontal position. if (shape.getRelativeHorizontalPosition() == RelativeHorizontalPosition.DEFAULT) { // Setting the position binding to RightMargin. shape.setRelativeHorizontalPosition(RelativeHorizontalPosition.RIGHT_MARGIN); // The position relative value can be negative. shape.setLeftRelative(-260); } doc.save(getArtifactsDir() + "Shape.RelativeSizeAndPosition.docx"); Parameters:ParameterTypeDescriptionvaluefloatThe value that represents the percentage of shape’s relative width.setWrapSide(int value)public void setWrapSide(int value)Specifies how the text is wrapped around the shape.Remarks:The default value is WrapSide.BOTH.Has effect only for top level shapes.Examples:Shows how to replace all textbox shapes with image shapes. Document doc = new Document(getMyDir() + "Textboxes in drawing canvas.docx"); List shapeList = Arrays.stream(doc.getChildNodes(NodeType.SHAPE, true).toArray()) .filter(Shape.class::isInstance) .map(Shape.class::cast) .collect(Collectors.toList()); Assert.assertEquals(3, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.TEXT_BOX)); Assert.assertEquals(1, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.IMAGE)); for (Shape shape : shapeList) { if (((shape.getShapeType()) == (ShapeType.TEXT_BOX))) { Shape replacementShape = new Shape(doc, ShapeType.IMAGE); replacementShape.getImageData().setImage(getImageDir() + "Logo.jpg"); replacementShape.setLeft(shape.getLeft()); replacementShape.setTop(shape.getTop()); replacementShape.setWidth(shape.getWidth()); replacementShape.setHeight(shape.getHeight()); replacementShape.setRelativeHorizontalPosition(shape.getRelativeHorizontalPosition()); replacementShape.setRelativeVerticalPosition(shape.getRelativeVerticalPosition()); replacementShape.setHorizontalAlignment(shape.getHorizontalAlignment()); replacementShape.setVerticalAlignment(shape.getVerticalAlignment()); replacementShape.setWrapType(shape.getWrapType()); replacementShape.setWrapSide(shape.getWrapSide()); shape.getParentNode().insertAfter(replacementShape, shape); shape.remove(); } } shapeList = Arrays.stream(doc.getChildNodes(NodeType.SHAPE, true).toArray()) .filter(Shape.class::isInstance) .map(Shape.class::cast) .collect(Collectors.toList()); Assert.assertEquals(0, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.TEXT_BOX)); Assert.assertEquals(4, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.IMAGE)); doc.save(getArtifactsDir() + "Shape.ReplaceTextboxesWithImages.docx"); Parameters:ParameterTypeDescriptionvalueintThe corresponding int value. The value must be one of WrapSide constants.setWrapType(int value)public void setWrapType(int value)Defines whether the shape is inline or floating. For floating shapes defines the wrapping mode for text around the shape.Remarks:The default value is WrapType.NONE.Has effect only for top level shapes.Examples:Shows how to insert a floating image to the center of a page. Document doc = new Document(); DocumentBuilder builder = new DocumentBuilder(doc); // Insert a floating image that will appear behind the overlapping text and align it to the page's center. Shape shape =. SDFI’s Negative Invert Filter, NIF is a software filter that first converts a color positive image to a color negative image, then the filter inverts the color values in a color negative image.
CBT: Negative Thoughts, Negative Filters - susankriegler.com
Desired film format (see above).Maximum focal length for APS-C sensor: 70mmMaximum focal length for FF sensor: 105mmMaximum focal length on MFT sensor: 50mm (60mm lenses can be used for scanning 35mm only)Maximum focal length for GFX/Hasselblad X sensor: 120mmUsing shorter focal length lenses has the benefit of making for a more compact scanning setup. This can be practical if you have a smaller desk or want to travel with your scanning setup.Lens features and compatibility FEATURECOMPATIBLEDedicated “macro” lens with fixed focal length (prime lens)YesZoom lens with macro functionNoManual focus lensYesAuto focus lensYes1:1 macro lensYes1:2 macro lensYes, only for 120 medium format (not for 35mm)Filter thread size: 39mm, 46mm, 49mm, 52mm, 55mm, 58mm, 62mm, 67mm, 72mm, 77mmYesMedium format digital cameraYes100mm lens on APS-C sensorNo, too longFixed lens cameraNot compatible in most cases, not recommendedEnlarger lensNo, most enlarger lenses have a not-compatible filter thread on the front (often 40.5mm)**A 40.5mm to 62mm filter thread adapter can be purchased from a third party and the lens possibly used. Keep in mind that mounting an enlarger lens for use with the easy120 requires a sturdy helicoid. Using bellows is not recommended, as they might bend under the weight of the easy120.Camera Scanning Considerations:Camera BodyJust about any semi-modern, interchangeable-lens digital camera will work great for camera scanning. There are many mirrorless or DSLR options to choose from with large lens catalogs, tethered capture capability, and excellent image quality. Some high end cameras can even use pixel stitching to deliver extremely high levels of resolution.Software for Negative ConversionThere are a few plugins and standalone programs for converting captured negatives into positive images. Some older and some newer, all of them try to harness the color science based in darkroom paper to various degrees. After all, even a professional lab scanner is essentially a digital camera and a light source. Most of the options presented here allow you to download a demo version to try before you buy and determine which one best suits your workflow.SOFTWAREREQUIRESDIFFICULTYCONTROLCOSTSmartConvertMac/PCConsumer👨💻$FilmLabMac/PCConsumer 👨💻$$Negative Lab ProAdobe LrProsumer 👨🔧👨🔬🧙♂️$LaserSoft NegaFixSilverFast HDR 8Professional 👨🔬🧙♂️$$$ColorPerfectAdobe PsExpert 🧙♂️$Negative: Image Video Effect - negative-image-and
One of best Negative Image - Invert Image photo editor. Negative Image - Invert Image application to make a negative image from your real image. this application has all amazing negative image filters with you can direct changes image with one tap on your mobile screen.Negative Image - Invert Image which convert your picture into negative.this is a way to make the photo with negative effects will make your pics look unique! It creates a negative of your photo. With you have to do upload your favourite photos, edit them with a negative effect for pictures.this picture decorator will make photo editing as easy to make a negative image. Negative Image - Invert Image with several ways to make a negative of your photos like a black-white negative, colourful negative, or etc.you can changeyour photo as a simple black-white negative effect. this is a creative design to make your photo effective. negative Photo effect is a very simple application that you can easily integrate as you want.Unique highlights of Negative Image - Invert Image- Simple to use- Open with a simple tap on your mobile screen- Many more filters are available- Direct option to click the image with the negative camera- Import your picture from gallery or take a photo with a camera- Nice UI design to understand this application- Editing your photo and you can save.- Editing picture set as WallPaper- Share with your friends via social networks Additional APP Information Latest Version 2.0 Uploaded by Vlad Mochalov Requires Android Android 4.0.3+ What's New in the Latest Version 2.0 Last updated on Mar 11, 2019 Minor bug fixes and improvements. Install or update to the newest version to check it out! Negative Image - Invert Image Screenshots. SDFI’s Negative Invert Filter, NIF is a software filter that first converts a color positive image to a color negative image, then the filter inverts the color values in a color negative image. App has a montage collection of Negative filters effects: cartoon filter, sketch filter, FEATURES: Negative photo maker Fast to Convert Image in Negative ImageIf you put the Negative filter on Mr. Negative, it shows
Not see any comment or direct message made by the restricted account.“Take a Break” FeatureThere is also a “take a break” feature for young Instagram users. This encourages users to step away after they’ve been scrolling for a certain amount of time. Although it won’t kick them off the app, it may serve as a reminder that they’ve been on it for too long.Daily Time LimitThis feature includes giving parents the power to put a limit on screen time. Your child will receive a notification to close the app when he/she reaches the daily limit. This would mean no Instagram when your teen has #insomnia and #can'tsleep.Hidden Words FeatureInstagram now allows users to use the hidden words feature to automatically filter out negative comments and direct messages.Quiet Mode FeatureIt is hard to turn off your phone when busy because Instagram is addictive. However, users can now set their Instagram accounts into quiet mode when they are busy. In quiet mode, Instagram would mute notifications and send auto-replies to DMs to help prevent distractions.Potential Dangers of Instagram for Kids Even with these safety features, Instagram comes with many potential risks that can harm children. These risks include cyberbullying, exposure to inappropriate and sensitive content, addiction, negative effects on mental health, exposure to unrealistic body image standards, and safety risks.1. CyberbullyingChildren and teens tend to bully one another in person. However, with social media platforms, bullying has now become popular online. Children can easily cyberbully one another on Instagram via hateful commentsComments
6,992 image memes with text descriptions, along with their sentiment labels. It’s pretty easy to import a Kaggle dataset directly into Google Colab, so I recommend you do that.We downloaded our dataset into a folder called memes-dataset and the directory structure of the dataset looks like this:The nested images folder contains the images of the memes, and the labels.csv file contains the image name, meme text, and the corresponding sentiment labels.The following script imports the labels.csv file in the pandas dataframe and displays the dataframe header.dataset = pd.read_csv("/content/memes-dataset/labels.csv")dataset.head()Output:You can see that the dataframe has four relevant columns: image_name, text_ocr, text_corrected, and overall_sentiment.The image_name column contains the names of the images; the text_ocr column contains the text extracted via an OCR (optical character recognizer.); the text_corrected column contains the manually corrected text of the memes, and the overall_sentiment column contains the sentiment labels.We will create a new column, image_path, in our dataset, which contains the complete path to the image file for each record in the dataset.We will also filter out any rows that have missing or empty values in the text_corrected column.Finally, we will filter the text_corrected, image_path, and overall_sentiment, columns and remove the remaining columns from our dataset.The following script performs the above tasks.image_folder_path = '/content/memes-dataset/images/images'dataset['image_path'] = dataset['image_name'].apply(lambda x: os.path.join(image_folder_path, x))dataset = dataset[dataset['text_corrected'].notna() & (dataset['text_corrected'] != '')]dataset = dataset.filter(["text_corrected", "image_path", "overall_sentiment"])print("==============================================")print(f'The shape of the dataset is: {dataset.shape}')print("==============================================")print(f'The number of sentiments in each category is:\n{dataset.overall_sentiment.value_counts()}')print("==============================================")dataset.head(10)Output:You can see that we have five categories of sentiments: very_positive, positive, neutral, negative, and very_negative. The dataset is highly imbalanced across these categories.Let’s print a sample meme along with its text and sentiment label.index = 523image_path = dataset["image_path"].iloc[index]sample_image = Image.open(image_path)sample_text = dataset["text_corrected"].iloc[index]sentiment = dataset["overall_sentiment"].iloc[index]print(sample_text)print(sentiment)sample_imageOutput:The next preprocessing step is to convert the sentiment labels into numeric values that our model can use. We will use the following mapping: very_positive -> 2 positive -> 2 neutral -> 1 negative -> 0 very_negative -> 0The above mapping will also reduce the number of classes from five to three by merging the very positive and positive classes and the very negative and negative classes. This mapping may make the task easier for our model, but it may also lose some information about the intensity of the sentiments. You can keep all five classes if you want.The following script applies the sentiment mapping to the overall_sentiment column. In the output, you can see the number of records for each sentiment
2025-04-08Determined by comparing the sentiment events found in the first half of the interaction to the sentiment found in the second half of the interaction. For this reason, the sentiment trend may be updated when additional follow-ups occur within the same interaction. Only the customer phrases of the transcript are analyzed to detect sentiment events. The agent phrases of the transcript are ignored in the sentiment trend calculation. There is a minimum number of customer phrases required for the sentiment trend to be calculated, usually around 6 or more customer phrases are required. For more information, see Sentiment analysis – What is the customer sentiment trend?. Sentiment trend values – There are 5 sentiment trend values. Events panel – Contains three lists (topics, positive and negative) of all the detected topic and sentiment markers together with their corresponding phrase. From the Events panel (located on the right side of the Transcript tab), you can click the preferred Event type to filter the lists to only display topics, positive sentiment markers, or negative sentiment markers. Click the word Events to select/deselect all of them. In addition, from the Events panel you can hover over the positive or negative sentiment marker and phrase to view a tooltip with the sentiment phrase.Note: Sentiment markers, the overall interaction sentiment, and the interaction sentiment trend are updated when new segments of the same interaction are retrieved by the system or when new phrases are added to the Sentiment feedback page. For more information, see Work with sentiment analysis.In the image below you can see the sentiment markers in the transcript, Events panel, and in the interaction overview waveform above the transcript. Click the image to enlarge.
2025-03-31Operator: Use the site operator to search for images within a specific website or domain. For example, site:www.unsplash.com will retrieve images from Unsplash.com.Filetype operator: Use the filetype operator to search for images with a specific file type, such as filetype:jpg or filetype:png.Size operator: Use the size operator to search for images of a specific size. For example, size:large or size:extra large will retrieve high-resolution images.Using Keywords and DescriptionsIn addition to using search operators, using relevant keywords and descriptions can also help you find high-resolution images on Google. Here are some tips:Use specific keywords: Use specific keywords related to your search query to retrieve more relevant results. For example, if you’re searching for high-resolution images of a specific product, use keywords like product name, brand name, or product features.Use quotes: Use quotes to search for exact phrases. For example, "product name" will retrieve images that contain the exact phrase "product name".Use negative keywords: Use negative keywords to exclude irrelevant results from your search. For example, -logo will exclude images that contain the word "logo".Using Google’s Search FeaturesGoogle’s search features can also be used to find high-resolution images. Here are some features you can use:Image labels: Use the image labels feature to search for images with specific labels. For example, label:landscape will retrieve images that are labeled as landscapes.Image filters: Use the image filters feature to filter your search results by image type, color, and more.Google’s Visual Search: Use Google’s Visual Search feature to search for images by uploading an image or searching with a specific query.Additional Tips and TricksHere are some additional tips and tricks to help you find high-resolution images on Google:Use a reputable image search engine: While Google is a popular search engine, it’s not the only one. Use reputable image search engines like Bing, Flickr, or 500px to find high-resolution images.Check the image source: Always check the source of the image to ensure it’s royalty-free and high-resolution.Use image editing software: Use image editing software like Adobe Photoshop or GIMP to edit and enhance your high-resolution images.ConclusionFinding high-resolution images on Google can be a challenging task, but by using
2025-03-30You would process VueScan's output in an image adjustment program to make it look good; in particular, playing with curves will have a big effect on B&W tonality.Don't use Apple RGB as the output color space. Adobe RGB is a good, conservative choice.The screenshots show that your scanner supports multi-exposure. This is a really useful feature for extracting more detail from the dense parts of the negative; it's kind of like HDR for film scanners, scanning the image twice, first with normal exposure and second time overxposed. However, this isn't useful for all film frames. I judge whether to use it by looking at the raw histogram of the preview scan; if it's hitting the left edge hard then I do multi-exposure.VueScan has grain reduction in the Filter tab (you don't give us a screenshot of that). You may want to try it. I usually don't use it; if I wanted no grain I'd go for digital.Some of my B&W negative scans from VueScan, processed in Lightroom after scanning. The second two were shot at ISO 1600, so grain is no surprise: "}"> OP (unknown member) • New Member • Posts: 2 Re: Some thoughts In reply to sacundim • Jul 24, 2011 Yup, I have black and white slides! No idea how they made though, as they're not my own. I will be scanning color slides as well, though. Everything I have are positives, not negatives, if that makes any difference.I did try scanning using the 16bit greyscale setting,
2025-04-16Relative horizontal position. if (shape.getRelativeHorizontalPosition() == RelativeHorizontalPosition.DEFAULT) { // Setting the position binding to RightMargin. shape.setRelativeHorizontalPosition(RelativeHorizontalPosition.RIGHT_MARGIN); // The position relative value can be negative. shape.setLeftRelative(-260); } doc.save(getArtifactsDir() + "Shape.RelativeSizeAndPosition.docx"); Parameters:ParameterTypeDescriptionvaluefloatThe value that represents the percentage of shape’s relative width.setWrapSide(int value)public void setWrapSide(int value)Specifies how the text is wrapped around the shape.Remarks:The default value is WrapSide.BOTH.Has effect only for top level shapes.Examples:Shows how to replace all textbox shapes with image shapes. Document doc = new Document(getMyDir() + "Textboxes in drawing canvas.docx"); List shapeList = Arrays.stream(doc.getChildNodes(NodeType.SHAPE, true).toArray()) .filter(Shape.class::isInstance) .map(Shape.class::cast) .collect(Collectors.toList()); Assert.assertEquals(3, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.TEXT_BOX)); Assert.assertEquals(1, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.IMAGE)); for (Shape shape : shapeList) { if (((shape.getShapeType()) == (ShapeType.TEXT_BOX))) { Shape replacementShape = new Shape(doc, ShapeType.IMAGE); replacementShape.getImageData().setImage(getImageDir() + "Logo.jpg"); replacementShape.setLeft(shape.getLeft()); replacementShape.setTop(shape.getTop()); replacementShape.setWidth(shape.getWidth()); replacementShape.setHeight(shape.getHeight()); replacementShape.setRelativeHorizontalPosition(shape.getRelativeHorizontalPosition()); replacementShape.setRelativeVerticalPosition(shape.getRelativeVerticalPosition()); replacementShape.setHorizontalAlignment(shape.getHorizontalAlignment()); replacementShape.setVerticalAlignment(shape.getVerticalAlignment()); replacementShape.setWrapType(shape.getWrapType()); replacementShape.setWrapSide(shape.getWrapSide()); shape.getParentNode().insertAfter(replacementShape, shape); shape.remove(); } } shapeList = Arrays.stream(doc.getChildNodes(NodeType.SHAPE, true).toArray()) .filter(Shape.class::isInstance) .map(Shape.class::cast) .collect(Collectors.toList()); Assert.assertEquals(0, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.TEXT_BOX)); Assert.assertEquals(4, IterableUtils.countMatches(shapeList, s -> s.getShapeType() == ShapeType.IMAGE)); doc.save(getArtifactsDir() + "Shape.ReplaceTextboxesWithImages.docx"); Parameters:ParameterTypeDescriptionvalueintThe corresponding int value. The value must be one of WrapSide constants.setWrapType(int value)public void setWrapType(int value)Defines whether the shape is inline or floating. For floating shapes defines the wrapping mode for text around the shape.Remarks:The default value is WrapType.NONE.Has effect only for top level shapes.Examples:Shows how to insert a floating image to the center of a page. Document doc = new Document(); DocumentBuilder builder = new DocumentBuilder(doc); // Insert a floating image that will appear behind the overlapping text and align it to the page's center. Shape shape =
2025-03-26Desired film format (see above).Maximum focal length for APS-C sensor: 70mmMaximum focal length for FF sensor: 105mmMaximum focal length on MFT sensor: 50mm (60mm lenses can be used for scanning 35mm only)Maximum focal length for GFX/Hasselblad X sensor: 120mmUsing shorter focal length lenses has the benefit of making for a more compact scanning setup. This can be practical if you have a smaller desk or want to travel with your scanning setup.Lens features and compatibility FEATURECOMPATIBLEDedicated “macro” lens with fixed focal length (prime lens)YesZoom lens with macro functionNoManual focus lensYesAuto focus lensYes1:1 macro lensYes1:2 macro lensYes, only for 120 medium format (not for 35mm)Filter thread size: 39mm, 46mm, 49mm, 52mm, 55mm, 58mm, 62mm, 67mm, 72mm, 77mmYesMedium format digital cameraYes100mm lens on APS-C sensorNo, too longFixed lens cameraNot compatible in most cases, not recommendedEnlarger lensNo, most enlarger lenses have a not-compatible filter thread on the front (often 40.5mm)**A 40.5mm to 62mm filter thread adapter can be purchased from a third party and the lens possibly used. Keep in mind that mounting an enlarger lens for use with the easy120 requires a sturdy helicoid. Using bellows is not recommended, as they might bend under the weight of the easy120.Camera Scanning Considerations:Camera BodyJust about any semi-modern, interchangeable-lens digital camera will work great for camera scanning. There are many mirrorless or DSLR options to choose from with large lens catalogs, tethered capture capability, and excellent image quality. Some high end cameras can even use pixel stitching to deliver extremely high levels of resolution.Software for Negative ConversionThere are a few plugins and standalone programs for converting captured negatives into positive images. Some older and some newer, all of them try to harness the color science based in darkroom paper to various degrees. After all, even a professional lab scanner is essentially a digital camera and a light source. Most of the options presented here allow you to download a demo version to try before you buy and determine which one best suits your workflow.SOFTWAREREQUIRESDIFFICULTYCONTROLCOSTSmartConvertMac/PCConsumer👨💻$FilmLabMac/PCConsumer 👨💻$$Negative Lab ProAdobe LrProsumer 👨🔧👨🔬🧙♂️$LaserSoft NegaFixSilverFast HDR 8Professional 👨🔬🧙♂️$$$ColorPerfectAdobe PsExpert 🧙♂️$
2025-04-02