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facebook.github.io /zstd / Zstandard is a lossless data compression algorithm developed by Yann Collet at Facebook . Zstd is the corresponding reference implementation in C , released as open-source software on 31 August 2016.
Initialization of the range decoder consists of setting range to 2 32 − 1, and code to the 32-bit value starting at the second byte in the stream interpreted as big-endian; the first byte in the stream is completely ignored. Normalization proceeds in this way: Shift both range and code left by 8 bits; Read a byte from the compressed stream
LosslessCut is a free, platform independent video editing software, which supports numerous audio, video and container formats. [4] [5]It is a graphical user interface, with MacOS, [6] Windows [7] and Linux [8] support, using the FFmpeg multimedia framework.
Component up-scaling and optional component decorrelation: In the first step, the DC gain of the input data is removed and it is upscaled to a bit-precision of 20 bits. Optionally, a multi-component generation, identical to the JPEG 2000 RCT, is applied.
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 ...
WebP's lossless compression, a newer algorithm unrelated to VP8, was designed by Google software engineer Jyrki Alakuijala. It uses advanced techniques such as dedicated entropy codes for different color channels, exploiting 2D locality of backward reference distances and a color cache of recently used colors.
Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W. Golomb in the 1960s. Alphabets following a geometric distribution will have a Golomb code as an optimal prefix code, [1] making Golomb coding highly suitable for situations in which the occurrence of small values in the input stream is significantly more likely than large values.
LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977 [1] and 1978. [2] They are also known as Lempel-Ziv 1 (LZ1) and Lempel-Ziv 2 (LZ2) respectively. [3] These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others.