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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.
JPEG for photographic images. GIF for animated images. PNG for everything else. While some formats offer multiple compression systems, in general the format and the compression system are tied together. Other image formats should be avoided in most cases: BMP - Images are uncompressed, resulting in larger file sizes. Should usually be converted ...
The WebP container (i.e., RIFF container for WebP) allows feature support over and above the basic use case of WebP (i.e., a file containing a single image encoded as a VP8 key frame). The WebP container provides additional support for: Lossless compression – An image can be losslessly compressed, using the WebP Lossless Format.
WebP: WebP image format Google.webp image/webp General purpose royalty-free WMF: Windows Metafile Format Microsoft.wmf, .wmz XAR: Xar Xara: Xar (graphics).xar application/vnd.xara Xara Photo & Graphic Designer: Yes XBM: X BitMap, colour variant of original black-and-white bitmap (bmp) format .xbm, .bm,.icon, .bitmap image/x-xbitmap
Free Lossless Image Format (FLIF) is a lossless image format claiming to outperform PNG, lossless WebP, lossless BPG and lossless JPEG 2000 in terms of compression ratio on a variety of inputs. [ 4 ]
[21] [22] Part 2 of the JPEG 2000 suite (ISO/IEC 15444-2 and ITU-T Rec. T.801) [23] [24] also defines a different format for storing JPEG 2000 images in files that is also based on ISOBMFF. Annex F of the JPEG XR image coding standard (ISO/IEC 29199-2 and ITU-T Rec. T.832) defines how to store JPEG XR images in HEIF container files.
WebM is an audiovisual media file format. [5] It is primarily intended to offer a royalty-free alternative to use in the HTML video and the HTML audio elements. It has a sister project, WebP, for images.
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.
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