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  2. pngcrush - Wikipedia

    en.wikipedia.org/wiki/Pngcrush

    pngcrush is a free and open-source command-line utility for optimizing PNG image files. It reduces the size of the file losslessly – that is, the resulting "crushed" image will have the same quality as the source image.

  3. IRS tax forms - Wikipedia

    en.wikipedia.org/wiki/IRS_tax_forms

    The first Form 1040 was published for use for the tax years 1913, 1914, and 1915. For 1916, Form 1040 was converted to an annual form (i.e., updated each year with the new tax year printed on the form). [3] Initially, the IRS mailed tax booklets (Form 1040, instructions, and most common attachments) to all households.

  4. QOI (image format) - Wikipedia

    en.wikipedia.org/wiki/QOI_(image_format)

    The intended purpose was to create an open source lossless compression method that was faster and easier to implement than PNG.Figures specified in the blog post announcing the format claim 20-50 times faster encoding, and 3-4 times faster decoding speed compared to PNG, with similar file sizes. [1]

  5. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    The PNG (Portable Network Graphics) file format was created as a free, open-source alternative to GIF. The PNG file format supports 8-bit (256 colors) paletted images (with optional transparency for all palette colors) and 24-bit truecolor (16 million colors) or 48-bit truecolor with and without alpha channel – while GIF supports only 8-bit ...

  6. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.

  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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