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JBIG2
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JBIG2 is an image compression standard for bi-level images, developed by the Joint Bi-level Image Experts Group. It is suitable for both lossless and lossyAudio Video Standard (2,846 words) [view diff] exact match in snippet view article find links to article
quantization, inverse quantization and inverse transformation, loop filter and entropy coding. It owns technical features as followings: In order to satisfy the requirementsRzip (1,266 words) [view diff] exact match in snippet view article find links to article
dictionary window, followed by bzip2-based Burrows–Wheeler transform and entropy coding (Huffman) on 900 kB output chunks. rzip operates in two stages. TheFFV1 (3,332 words) [view diff] no match in snippet view article find links to article
its predicted value, judging by neighboring pixels, is sent to the entropy-coding process. The prediction is done as follows: prediction = Median(TopTimeline of information theory (893 words) [view diff] exact match in snippet view article find links to article
book. 2006 – Jarosław Duda introduces first Asymmetric numeral systems entropy coding: since 2014 popular replacement of Huffman and arithmetic coding inART image file format (540 words) [view diff] exact match in snippet view article find links to article
Data compression using adaptive bit allocation and hybrid lossless entropy coding U.S. patent 5,822,456 Optimal spline interpolation for image compressionZPEG (1,913 words) [view diff] no match in snippet view article find links to article
ZPEG is a motion video technology that applies a human visual acuity model to a decorrelated transform-domain space, thereby optimally reducing the redundanciesHigh Efficiency Video Coding (16,656 words) [view diff] exact match in snippet view article find links to article
entropy encoder methods allowed by H.264/MPEG-4 AVC. CABAC and the entropy coding of transform coefficients in HEVC were designed for a higher throughputJPEG (13,563 words) [view diff] exact match in snippet view article find links to article
y spatial frequency greater than 4) are quantized into zero values. Entropy coding is a special form of lossless data compression. It involves arrangingList of algorithms (7,925 words) [view diff] exact match in snippet view article find links to article
precursor to arithmetic encoding Entropy coding with known entropy characteristics Golomb coding: form of entropy coding that is optimal for alphabets followingOpenCTM (336 words) [view diff] exact match in snippet view article find links to article
by means of various differentiation operations, followed by lossless entropy coding using the LZMA compression library. List of file formats Lossless dataMotion JPEG (1,903 words) [view diff] exact match in snippet view article find links to article
transform block size techniques. There are also more sophisticated entropy coding than what was practical when the first JPEG design was developed. AllMP3 (11,213 words) [view diff] case mismatch in snippet view article find links to article
Integrated Coding And Multiplexing) and ASPEC (Adaptive Spectral Perceptual Entropy Coding). The MUSICAM technique, proposed by Philips (Netherlands), CCETT (France)Comparison of graphics file formats (156 words) [view diff] exact match in snippet view article find links to article
Raster 32 bpc No Yes Yes No Yes No Yes Yes Yes Yes FLIF Lossless (MANIAC entropy coding) Raster 16 bpc Yes Yes Yes Yes No Yes No Yes Yes, via chunks Yes GIFDigital signal processor (2,922 words) [view diff] exact match in snippet view article find links to article
arithmetic, and have specific instructions to deal with complex filters and entropy coding. CSR produces the Quatro family of SoCs that contain one or more customRico Malvar (858 words) [view diff] exact match in snippet view article find links to article
development of the lapped transform, Malvar wavelets, and new algorithms for entropy coding and multimedia signal processing and compression, such as audio andEureka (organisation) (1,376 words) [view diff] case mismatch in snippet view article
(Digital Audio Broadcast), and ASPEC (Adaptive Spectral Perceptual Entropy Coding), which was used in a modified form in MP3 audio. E! 127 paid 3.8bnJPEG XR (3,759 words) [view diff] exact match in snippet view article find links to article
spatial areas of pictures without decoding the entire picture. JPEG XR's entropy coding phase is more adaptive and complex than JPEG's, involving a DC and ACEnrique García-Berro (988 words) [view diff] case mismatch in snippet view article find links to article
1117/1.3479585. ISSN 1931-3195. S2CID 64475996. "Outlier-Resilient Entropy Coding". springerprofessional.de. Retrieved 2020-09-23. Portell, J.; IudicaJPEG XS (3,289 words) [view diff] exact match in snippet view article find links to article
either a dead zone quantizer or a data-dependent uniform quantizer. Entropy coding: JPEG XS uses minimalistic Entropy encoding for the quantized data whichWindows Media Audio (4,645 words) [view diff] exact match in snippet view article find links to article
most of the same general coding features, but also features improved entropy coding and quantization strategies as well as more efficient stereo codingCompression of genomic sequencing data (1,423 words) [view diff] exact match in snippet view article find links to article
genome sequence (Watson) and sequences from the 1000 Genomes Project Entropy coding for approximations of empirical distributions https://sourceforgeNTFS (9,382 words) [view diff] exact match in snippet view article find links to article
and the LZX algorithm; both are variants of LZ77 updated with Huffman entropy coding and range coding, which LZNT1 lacked. These compression algorithms wereList of file signatures (1,432 words) [view diff] exact match in snippet view article find links to article
LZFSE - Lempel-Ziv style data compression algorithm using Finite State Entropy coding. OSS by Apple. 4F 52 43 ORC 0 orc Apache ORC (Optimized Row Columnar)Digital pathology (4,793 words) [view diff] exact match in snippet view article find links to article
is optimized for real-time encoding and decoding, with a simplified entropy coding stage—based on local correlation and an arithmetic coder—that is faster