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It reduces the size of the file losslessly – that is, the resulting "crushed" image will have the same quality as the source image. 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.
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 ]
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.
One of the simpler ways of increasing the size, replacing every pixel with a number of pixels of the same color. The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest ...
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.
Camera Image File Format Canon.crw, .ciff CR2: Canon RAW 2 Canon: TIFF .cr2 CDR: CorelDRAW Document Corel Corporation.cdr, .ccx, .cdt, .cmx application/coreldraw CorelDRAW No CD5: Chasys Draw IES Image John Paul Chacha .cd5 Native format for Chasys Draw IES for storing layered images and animations No CGM: Computer Graphics Metafile .cgm image/cgm
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Lossless compression should be used to avoid accumulating stages of re-compression when editing images. Lossy compression algorithms preserve a representation of the original uncompressed image that may appear to be a perfect copy, but is not a perfect copy. Often lossy compression is able to achieve smaller file sizes than lossless compression.
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