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  2. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    Vectorization first creates a resolution-independent vector representation of the graphic to be scaled. Then the resolution-independent version is rendered as a raster image at the desired resolution. This technique is used by Adobe Illustrator Live Trace, Inkscape, and several recent papers. [6]

  3. Adobe Lightroom - Wikipedia

    en.wikipedia.org/wiki/Adobe_Lightroom

    Lightroom is non-destructive editing software that keeps the original image separate from its edits, saving the edited image as a new file. While Photoshop includes doctoring functions like adding, removing or altering the appearance of individual image items, rendering text or 3D objects on images, or modifying individual video frames, Lightroom is a library and development software.

  4. Pixelmator Pro - Wikipedia

    en.wikipedia.org/wiki/Pixelmator_Pro

    Pixelmator Pro is a photo, video, [1] and vector [2] graphic editor developed by Pixelmator Team for macOS as part of its Pixelmator set of apps. As a Mac-only app, Pixelmator Pro relies heavily on technologies from Apple platforms such as Metal, CoreML, Core Image, AVFoundation, GCD, and SwiftUI. [3]

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    The Image Size dialog can be used as an image calculator of sorts. For example, a 1600 × 1200 image with a resolution of 200 ppi will produce a printed image of 8 × 6 inches. The same image with 400 ppi will produce a printed image of 4 × 3 inches. Change the resolution to 800 ppi, and the same image now prints out at 2 × 1.5 inches.

  6. How Photoshop’s new Neural Filters harness AI to ... - AOL

    www.aol.com/news/photoshop-neural-filters...

    After retraining the model, Adobe incorporated high-resolution techniques from Photoshop to improve the quality of the output. The end result is a platform that should make a lot of image edits a ...

  7. Spatial anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Spatial_anti-aliasing

    In general, super-sampling is a technique of collecting data points at a greater resolution (usually by a power of two) than the final data resolution. These data points are then combined (down-sampled) to the desired resolution, often just by a simple average. The combined data points have less visible aliasing artifacts (or moiré patterns).

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