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GIF images are compressed using the Lempel–Ziv–Welch (LZW) lossless data compression technique to reduce the file size without degrading the visual quality.
Of the graphics file formats that support LZW compression, TIFF uses early change, while GIF and most others don't. When the table is cleared in response to a clear code, both encoder and decoder change the code width after the clear code back to the initial code width, starting with the code immediately following the clear code.
There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed. If the data is compressed, it may be done so using lossy compression or lossless compression.
GIF: Graphics Interchange Format CompuServe, Unisys (compression algorithm) .gif, .gfa, .giff image/gif General purpose, obsolete, now only used for animations Yes HEIF: High Efficiency Image Format Motion Pictures Expert Group (MPEG) .heif, .heic image/heif, image/heic, image/heic-sequence, image/heif-sequence General purpose No HDRi: TIFF ...
Common examples are executable programs, text documents, and source code. Some image file formats, like PNG or GIF, use only lossless compression, while others like TIFF and MNG may use either lossless or lossy methods.
LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977 and 1978. They are also known as LZ1 and LZ2 respectively. These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others.
On small images, GIF can achieve greater compression than PNG (see the section on filesize, below). On most images, except for the above case, a GIF file has a larger size than an indexed PNG image. PNG gives a much wider range of transparency options than GIF, including alpha channel transparency.
JPEG ( / ˈdʒeɪpɛɡ / JAY-peg, short for Joint Photographic Experts Group) [2] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality.
In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in ...
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. These techniques are used to reduce data size for storing, handling, and transmitting content.
