JPEG2000-library-source-code

有关算术编码对文本压缩的程序在c++环境中实现(about arithmetic compressed)

PAV (H265) 是 音视频 压缩解压 协议，非常不同于H264/MPEG4，ZPAV (H265) 的基本算法 是 小波，多级树集合群，广义小波，数学形态小波，...... ZPAV (H265) 基本算法 ： 1，图象与声音分解与合成 ：小波 ； 2，图象与声音前处理 ：小波子带零交叉降噪，目标纹理处理，语音处理 ； 3，速率控制 ：小波子带熵速率控制 ； 4，量化与反量化 ：小波子带熵量化与反量化 ； 5，低频分量和高频分量的降维 ：小波子带邻域交叉降维 ； 6，运动矢量和量化表的分解与合成 ：广义小波 ； 7，位面编码 ：数学形态小波，多级树集合群，嵌入零树，位面降维 ； 8，位流编码 ：算术编码，熵编码 ； 9，运动估计 ：宏块最优决策，运动矢量预测 ； A，运动搜索 ：钻石，大钻石，小钻石，方形 ； B，图象与声音后处理 ：低通滤波，断点重构，宏块平滑 ； C，误码纠错 ：矢量仿真，帧间仿真 。 (The PAV (H265) is the audio and video compression and decompression protocol, is very different from H264/MPEG4 ZPAV (H265) algorithm is a wavelet, multi-level tree collection group, and generalized wavelets, mathematical morphology, wavelet, ... ZPAV (H265) algorithm: 1, image and sound decomposition and synthesis: wavelet 2, image and sound processing: wavelet sub-band zero-crossing noise, target texture processing, speech processing 3, the rate control: wavelet subband entropy rate control 4, quantization and inverse quantization: Wavelet subband entropy quantization and inverse quantization 5, the dimensionality reduction of the low frequency component and high frequency components: the wavelet subbands neighborhood cross-dimensionality reduction 6, the decomposition and synthesis of the motion vector and quantization tables: generalized wavelet 7, bit-plane coding: the mathematical form of wavelet multi-level tree collection group, embedded zerotree, bit plane)

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一种改进的方案，它针对硬故障集的特点利用指示频率连续长度码(FDR码)进行二次编码压缩。该方法充分利用测试集中无关位较多而测试模式之间变化位较少的特征，应用贪心算法对预先计算的测试集进行了重新排序，尽可能的使相邻的向量间具有最少的不同位，排列成一个最佳的差分向量序列，然后应用FDR码对差分向量序列进行编码,最后对压缩结果重新分块，按照一次压缩的流程进行二次压缩。在解压时，使用片上解压电路解压，能高效地还原出原测试集。最后通过对Soc部分标准电路硬故障集的测试结果显示，本方案具有较好的压缩率。(a new improved method was proposed in the paper,the method using Frequency-Directed Run-length(FDR codes)coding for the twice aimed at hard-fault. It fully takes advantage of the characters that there are many don’t-care bits in the test set but a few different bits between the test patterns, Then it applies the greed calculate way to sort the precomputed test sets and make the close together vector have the least different sites possibly. It uses the FDR codes to coding the vectors,then blocks the results and uses the FDR codes to compress for the second time. Decompression used of on-chip circuit extract unpack,it will be deoxidize the original test efficient.using the hard-fault to compress and the experimental results prove that the improved coding method of this paper has the better compression ratios has been proved at last. )

这是一个基于LZARI算法的数据压缩的类.Haruhiko Okumura 于1989年7月4日用C语言写实现了这个算法.但是上面用到了一些全局或静态的变量,在MFC下用起来很不方便.作者把它改写成了一个C++类,使它可以方便的压缩和解压缩。(LZARI algorithm based on the type of data compression. Haruhiko SAP in 1989, July 4 C language daily wrote realization of this algorithm. But above uses some static or global variables, using the MFC which are very convenient. Authors rewrite it became a category C, it can be to facilitate the compression.)

非常好的视频压缩filter,可以实现mpeg2 mpeg1的视频压缩，用户可以自己选择码率(very good video compression filter can achieve mpeg1 mpeg2 video compression, Users can choose Rate)

哈夫曼编码(Huffman Coding)，又称霍夫曼编码，是一种编码方式，哈夫曼编码是可变字长编码(VLC)的一种。Huffman于1952年提出一种编码方法，该方法完全依据字符出现概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，一般就叫做Huffman编码(有时也称为霍夫曼编码)。(Huffman encoding (Huffman Coding), also called Huffman Coding, is a way of Coding, Huffman Coding is variable word length Coding (VLC). Huffman in 1952 put forward a kind of coding method, this method is completely based on the characters of the occurrence probability to construct the average length of the shortest code word, sometimes called the best coding, generally is called Huffman coding (sometimes referred to as the Huffman coding).)

说明：  一个简单的32位位图压缩算法，基本思想是，扫描像素点，后面有雷同的就记下重复次数。(A simple 32-bit bitmap compression algorithm, the basic idea is to scan pixel, behind identical repetitions on the record.)

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说明：  用单片机来直接驱动步进电机很精确走小步子.(Using single-chip to directly drive stepper motor is very accurate take small steps.)