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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.
WebP is an open image format released in 2010 that uses both lossless and lossy compression. It was designed by Google to reduce image file size to speed up web page loading: its principal purpose is to supersede JPEG as the primary format for photographs on the web. WebP is based on VP8's intra-frame coding and uses a container based on RIFF.
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 ...
WebP was first announced by Google on 30 September 2010 as a new open format for lossy compressed true-color graphics on the web, producing files that were smaller than JPEG files for comparable image quality. [9] It was based on technology which Google had acquired with the purchase of On2 Technologies. [10]
Some changes can be made to the compression without re-encoding: Optimizing the compression (to reduce size without change to the decoded image) Converting between progressive and non-progressive encoding. The freeware Windows-only IrfanView has some lossless JPEG operations in its JPG_TRANSFORM plugin.
WebP: Lossy and lossless Raster 8 bpc No [9] [10] Yes Yes No Yes Yes No Yes Yes No No XCF: None and lossless (gzip, bzip2 and xz) Both 32 bpc Yes Yes Yes No No Yes Yes Yes Yes Yes Format Compression algorithm Raster/ vector Maximum Color depth. Indexed color Trans-parency Meta-data. Inter-lacing. Multi-page Anima-tion Layers Color manage-ment ...
Lossless compression methods may be categorized according to the type of data they are designed to compress. While, in principle, any general-purpose lossless compression algorithm ( general-purpose meaning that they can accept any bitstring) can be used on any type of data, many are unable to achieve significant compression on data that are ...
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.