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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.
WebP is a raster graphics file format developed by Google intended as a replacement for JPEG, PNG, and GIF file formats. It supports both lossy and lossless compression, [8] as well as animation and alpha transparency.
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 ...
This is because uncompressed audio can only reduce file size by lowering bit rate or depth, whereas compressing audio can reduce size while maintaining bit rate and depth. This compression becomes a selective loss of the least significant data, rather than losing data across the board.
Via Photoshop: contact sheet, merge to HDR, PDF presentation, photomerge, Web picture gallery Proprietary: Adobe Lightroom: Library organization, RAW and JPEG editing, slideshow tools, print layout and preferences, web gallery creation and uploading Proprietary: Aperture: Proprietary: CDisplay
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 ...
If the compressor cannot store enough data in the compressed version, the result is a loss of quality, or introduction of artifacts. The compression algorithm may not be intelligent enough to discriminate between distortions of little subjective importance and those objectionable to the user.