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  2. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    In the case of decreasing the pixel number (scaling down), this usually results in a visible quality loss. From the standpoint of digital signal processing, the scaling of raster graphics is a two-dimensional example of sample-rate conversion, the conversion of a discrete signal from a sampling rate (in this case, the local sampling rate) to ...

  3. Comparison gallery of image scaling algorithms - Wikipedia

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

    An image size can be changed in several ways. Consider resizing a 160x160 pixel photo to the following 40x40 pixel thumbnail and then scaling the thumbnail to a 160x160 pixel image. Also consider doubling the size of the following image containing text.

  4. 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.

  5. Vector graphics - Wikipedia

    en.wikipedia.org/wiki/Vector_graphics

    This is an accepted version of this page This is the latest accepted revision, reviewed on 2 December 2024. Computer graphics images defined by points, lines and curves This article is about computer illustration. For other uses, see Vector graphics (disambiguation). Example showing comparison of vector graphics and raster graphics upon magnification Vector graphics are a form of computer ...

  6. Wikipedia:Basic bitmap image editing - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Basic_bitmap...

    Resizing (to emphasize details) In general, first crop out border areas, then adjust colors, then scale the image, and in the last instance probably reduce the color depth. This guarantees as little processing loss as possible. Select the Image menu. Then select "Resize/Resample".

  7. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    Left side of the image is from a low-quality JPEG image, showing lossy artefacts; the right side is from a PNG image. In information technology , lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content.

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