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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. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    Image compression is a type of data compression applied to digital images, ... Whole-image palette, typically 256 colors, used in GIF and PNG file formats.

  4. 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.

  5. PNG - Wikipedia

    en.wikipedia.org/wiki/PNG

    In comparison, when storing images that contain text, line art, or graphics – images with sharp transitions and large areas of solid color – the PNG format can compress image data more than JPEG can. Additionally, PNG is lossless, while JPEG produces visual artifacts around high-contrast areas.

  6. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    Even for photographs – where JPEG is often the choice for final distribution since its lossy compression typically yields smaller file sizes – PNG is still well-suited to storing images during the editing process because of its lossless compression. PNG provides a patent-free replacement for GIF (though GIF is itself now patent-free) and ...

  7. PNGOUT - Wikipedia

    en.wikipedia.org/wiki/PNGOUT

    PNGOUT is a freeware command line optimizer for PNG images written by Ken Silverman. The transformation is lossless, meaning that the resulting image is visually identical to the source image. According to its author, this program can often get higher compression than other optimizers by 5–10%. [3]

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