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  2. pngcrush - Wikipedia

    en.wikipedia.org/wiki/Pngcrush

    The main purpose of pngcrush is to reduce the size of the PNG IDAT data stream by trying various combinations of compression methods and delta filters. It can also be used for various manipulations of PNG images, such as changing the bit depth , removing unwanted ancillary chunks , or adding certain chunks including gAMA, tRNS, iCCP, and ...

  3. Help : How to reduce colors for saving a JPEG as PNG

    en.wikipedia.org/wiki/Help:How_to_reduce_colors...

    Sometimes, you find a drawing or similar image useful for a Wikipedia article, that was saved as a JPEG but should have been saved as a PNG.JPEG is good for images where the color changes fluidly throughout the image, like in a photograph, whereas PNG files are good for images with relatively few colors, such as a drawing of a flag, a chart, or a map; note that sometimes SVG is better.

  4. PNG - Wikipedia

    en.wikipedia.org/wiki/PNG

    PNG was developed as an improved, non-patented replacement for Graphics Interchange Format (GIF)—unofficially, the initials PNG stood for the recursive acronym "PNG's not GIF". [ 6 ] PNG supports palette-based images (with palettes of 24-bit RGB or 32-bit RGBA colors), grayscale images (with or without an alpha channel for transparency), and ...

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    The background image is used as the bottom layer, and the image with parts to be added are placed in a layer above that. Using an image layer mask , all but the parts to be merged is hidden from the layer, giving the impression that these parts have been added to the background layer.

  6. Helicon Filter - Wikipedia

    en.wikipedia.org/wiki/Helicon_Filter

    Helicon Filter, formally Helicon NoiseFilter, was introduced in August, 2004 as Helicon Filter 1.61, by Helicon Soft, Ltd., a company based in Kharkov, Ukraine. [1] By 2005, Helicon Filter had become known for its noise reduction ability, [2] though it also had some other basic features such as raw support, exposure correction, color adjustments, red eye removal, and resizing/cropping. [3]

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