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Description: H.264的白皮书，关于CABAC等熵编码的论述。-H.264 White Paper on CABAC entropy coding such expositions.
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Author: 天天 |
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Description: H.26L中熵编码原理分析及改进.PDF-H.26L entropy coding theory analysis and improvement. PDF
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Size: 174080 |
Author: 罗生 |
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Description: 熵编码源程序，也即霍夫曼编码，希望对大家有所帮助哦~-source entropy coding, Huffman coding is, we want to help, oh ~
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Author: 周坤 |
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Description: 用matlab实现的EZW编码解码，对图像进行小波变换，EZW算法搜索小波系数矩阵，包括熵编码（HUFFMAN）-achieved using Matlab EZW codec, the image wavelet transform, EZW wavelet algorithm search coefficient matrix, including entropy coding (HUFFMAN)
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Author: 小迟 |
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Description: 用verilog 描述的嫡编码(entropy coding)
应用于图像压缩编码
有测试文档
-using Verilog His description of coding (entropy coding) for image compression test files are encoded
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Size: 19456 |
Author: 周信均 |
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Description: 哈夫曼编码，基于MFC开发。哈夫曼编码为熵编码中的最佳方法之一，广泛用于各种数据压缩技术中。-Huffman coding, based on the MFC. Huffman coding for entropy coding one of the best ways, for a wide variety of data compression technology.
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Author: canny06 |
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Description: This file contains a new and improved version of the Huffman coder, (June 29. 2001). The name is Huff06.m. There are also some additional files which are helpful when using Matlab for data compression: quantizer, different variants of run-length-encoding and end-of-block coding in Mat2Vec, and a program which do JPEG-like entropy coding. A complete compression example is shown in TestMat2Vec.m. This file is all you need for Huffman coding in MatLab.-This file contains a new and improved version of on of the Huffman coder, (June 29. 2001). The name is Huff06.m. There are also some additional files which are helpful wh en using Matlab for data compression : quantizer. different variants of run-length-encoding an d end-of-block coding in Mat2Vec. and a program which do JPEG-like entropy coding . A complete compression example is shown in Tes tMat2Vec.m. This file is all you need for Huffma n coding in MatLab.
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Author: 金金 |
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Description: The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for
the coding (compression) of natural video images. The new standard [1] will be known as H.264 and
also MPEG-4 Part 10, “Advanced Video Coding”. The standard specifies two types of entropy coding:
Context-based Adaptive Binary Arithmetic Coding (CABAC) and Variable-Length Coding (VLC).
This document provides a short introduction to CABAC. Familiarity with the concept of Arithmetic
Coding is assumed.-The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard forthe coding (compression) of natural video images. The new standard [1] will be known as H.264 andalso MPEG-4 Part 10,
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Size: 10240 |
Author: woyun |
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Description: EBCOT_MQ_of_JPEG2000.rar
介绍JPEG2000 的熵编码算法 -EBCOT_MQ_of_JPEG2000.rar introduction JPEG2000 entropy coding algorithm
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Size: 1719296 |
Author: xuyo |
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Description: 算术编码，熵编码，HUFFMAN编码的MATLAB实现。-Arithmetic coding, entropy coding, HUFFMAN encoded MATLAB to achieve.
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Size: 48128 |
Author: 王若 |
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Description: mpeg2视频压缩熵编码，verilog实现，modelsim仿真通过-mpeg2 video compression entropy coding, verilog realize, modelsim simulation through
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Size: 19456 |
Author: mayang |
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Description: 小波均匀量化huffman熵编码图像压缩程序：分析对象Lena.bmp-Uniform quantization of wavelet image compression huffman entropy coding procedure: analysis of object Lena.bmp
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Size: 2048 |
Author: yanhaifeixue |
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Description: 运动估计是视频编码的关键技术，其最基本的原理是利用相邻帧间的时间
相关性，通过预测来减少时间冗余度。在实际编码中，为了节省码率，并不传
输每一帧的全部数据，而是利用运动估计求出每一帧与其预测参考帧之间的差
值。运动估计越准确，差值的分布越趋近与零，差值块的能量越小，经过变换、
量化和熵编码后所产生的码流的比特位率也越少。因此，运动估计搜索的准确
程度直接影响到了编码的压缩性能。
-Motion estimation is the key to video encoding technology, its basic principle is the use of the adjacent time frame relevant, through the forecast period to reduce redundancy. In the actual code, in order to save bit rate and does not transfer all the data of each frame, but the use of motion estimation for each frame obtained with the prediction of the difference between the reference frame. Motion estimation more accurate, more closer to the margin and the distribution of zero, the smaller the energy difference between blocks, after transform, quantization and entropy coding of the code produced by the bit stream bit rate is less. Therefore, the motion estimation search accuracy of the direct impact on the performance of the compression coding.
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Author: 罗鹏 |
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Description: 视频编码中熵编码中经典的cabac算法，从算法的理论基础到算法的查表实现，很详细，英文版-Video coding in the classic cabac entropy coding algorithm, from a theoretical basis for the algorithm to the algorithm look-up table to achieve, very detailed, English
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Author: madeng |
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Description: The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication".
Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet.
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Author: jeremy |
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Description: 基于上下文的算术编码，用于图像压缩中的熵编码环节。-Arithmetic coding for entropy coding in image compression link.
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Size: 17408 |
Author: lili |
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Description: 视频信号熵编码源程序
熵编码法是一种进行无损数据压缩的技术，在这个技术中一段文字中的每个字母被一段不同长度的比特(Bit)所代替。与此相对的是LZ77或者LZ78等数据压缩方法，在这些方法中原文的一段字母列被其它字母取代。
每个字母按照其出现的可能性所获得的最佳比特数取决于熵。
本程序不仅提供源程序，还提供相应的实例。-Entropy coding the video signal source for entropy coding method is a lossless data compression technology in the technology section of the text in each letter is a bit different lengths (Bit) replaced. In contrast the LZ77 or LZ78 data compression method, etc., in these methods section of the original letters column is replaced by other letters. Each letter appears in accordance with its possibilities to obtain the optimal number of bits depends on the entropy. This procedure provides not only source, but also provide examples.
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Author: 安慰安防 |
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Description: 熵编码(entropy encoding)是一类利用数据的统计信息进行压缩的无语义数据流之无损编码。本章先介绍熵的基本概念，然后介绍香农-范诺(Shannon-Fano)编码、哈夫曼(Huffman)编码、算术编码(arithmetic coding)、行程编码(RLE)和LZW编码等常用的熵编码方法。 哈夫曼编码建议了一种将位元进位成整数的算法，但这个算法在特定情况下无法达到最佳结果。为此有人加以改进，提供最佳整数位元数。这个算法使用二叉树来设立一个编码。这个二叉树的终端节点代表被编码的字母，根节点代表使用的位元。除这个对每个要编码的数据产生一个特别的表格的方法外还有使用固定的编码表的方法。比如加入要编码的数据中符号出现的机率符合一定的规则的话就可以使用特别的变长编码表。这样的编码表具有一定的系数来使得它适应实际的字母出现机率。-Entropy coding (entropy encoding) is a kind of use data of statistical information compression without semantic data flow of nondestructive coding. This chapter first introduces the basic concept of entropy, and then introduce Shannon- occupies (Shannon- Fano) coding, Huffman (Huffman) coding, arithmetic coding (arithmetic coding), stroke encoding (RLE) and LZW encoding used entropy coding method. Huffman encoding suggest a bit carry into integer algorithm, but this algorithm in specific cases not to achieve the best results. Therefore some improved, providing the best integer bit number. This algorithm using binary tree to set up a code. The binary tree terminal node representing the code letters, on behalf of the root node used bits. In addition to this for each to coded data to create a special form of the method and use fixed code table method. Such as join to coding data symbols appear probability accord with certain rules words can use special variable ChangBian chart. This code
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Author: 杨飞帆 |
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Description: 介绍了熵编码的基本原理和一些具体方法，如huffman编码、colomb编码，详细介绍了算术编码的过程。-Describes the basic principles of entropy coding and some specific methods, such as huffman coding, colomb code, details of arithmetic coding process.
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Size: 359424 |
Author: ALMA CHOW |
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Description: 熵编码(entropy encoding)是一类利用数据的统计信息进行压缩的无语义数据流之无损编码。本章先介绍熵的基本概念，然后介绍香农-范诺(Shannon-Fano)编码、哈夫曼(Huffman)编码、算术编码(arithmetic coding)、行程编码(RLE)和LZW编码等常用的熵编码方法。-Entropy coding (entropy encoding) is a kind of the compressed by using the data statistics of the semantic data flow lossless coding.This chapter first introduce the basic concept of entropy, then introduce Shannon- he (Shannon- Fano) coding, Huffman (Huffman coding, arithmetic coding, arithmetic coding), run length encoding (RLE) and entropy coding methods such as LZW encoding.
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Author: widy |
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