lossless image compression

  • 91Bit rate — Bit rates Decimal prefixes (SI) Name Symbol Multiple kilobit per second kbit/s 103 megabit per second Mbit/s 106 gigabit per second Gbit/s 109 …

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  • 92JBIG2 — 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 lossy compression. According to a press release [ [http://www.jpeg.org/public/mauijbig.pdf Press… …

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  • 93Cinepak — is a video codec developed by Peter Barrett at SuperMac Technologies, and released in 1991 with the Video Spigot, and then in 1992 as part of Apple Computer s QuickTime video suite. It was designed to encode 320x240 resolution video at 1x (150… …

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  • 94Statistical Lempel Ziv — is a concept of lossless data compression technique published by Dr. Sam Kwong and Yu Fan Ho in 2001.[1] It may be viewed as a variant of the Lempel Ziv (LZ) based method. The contribution of this concept is to include the statistical properties… …

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  • 95Codec — This article is about encoding and decoding a digital data stream. For other uses, see Codec (disambiguation). Further information: List of codecs A codec is a device or computer program capable of encoding and/or decoding a digital data stream… …

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  • 96PAQ — A sample session of PAQ8O PAQ is a series of lossless data compression archivers that have evolved through collaborative development to top rankings on several benchmarks measuring compression ratio (although at the expense of speed and memory… …

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  • 97OptimFROG — Developer(s) Florin Ghido Stable release 4.520b1 / 2006 04 26 Preview release 4.910b *only Windows* / 2011 02 12 Operating system Linux, Darwin, Mic …

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  • 98Generation loss — Digital generation loss induced by rotating a JPEG image 90 degrees (from top to bottom) 0, 100, 200, 500, 900, and 2000 times (without using lossless tools) Generation loss refers to the loss of quality between subsequent copies or transcodes of …

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  • 99PeaZip — running on Windows 7 Developer(s) …

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  • 100Huffman coding — Huffman tree generated from the exact frequencies of the text this is an example of a huffman tree . The frequencies and codes of each character are below. Encoding the sentence with this code requires 135 bits, as opposed of 288 bits if 36… …

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