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

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

    The end result is a platform that should make a lot of image edits a whole lot easier. Photoshop 22.0 customers can try it out by opening the app and clicking Filters > Neural Filters. Show comments

  3. Adobe to bring full AI image generation to Photoshop this year

    www.aol.com/news/adobe-bring-full-ai-image...

    (Reuters) -Adobe said on Tuesday it plans to place a tool for full artificial intelligence image generation in its Photoshop software later this year. Adobe's image and video editing tools are ...

  4. Comparison gallery of image scaling algorithms - Wikipedia

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

    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] Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity.

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image sharpening: original (top), image sharpened (bottom). Another form of image sharpening involves a form of contrast. This is done by finding the average color of the pixels around each pixel in a specified radius, and then contrasting that pixel from that average color. This effect makes the image seem clearer, seemingly adding details.

  6. AI & Photoshop Turns 10 Fantastics Photos into Fantasy Lands

    www.aol.com/ai-photoshop-turns-10-fantastics...

    With the power of Adobe Photoshop and cutting-edge AI tools, photographers and digital artists can transform ordinary scenes into extraordinary mythical worlds. ... Use AI image filler to add or ...

  7. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.

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