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Description: 当前公认的最优无损/准无损图像压缩算法之一：calic算法的软件实现。-An accepted lossless and near lossless image compression algrithm: Relization of CALIC on soft.
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Size: 11264 |
Author: 朱曼洁 |
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Description: 图像无失真压缩源代码，包括S+P变换，算术编码，哈夫曼编码-lossless image compression source code, including S P conversion, arithmetic coding, Huffman coding
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Size: 25600 |
Author: 孙文方 |
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Description: 是一种采用哈夫曼算法的图像压缩算法，是一种无损压缩，希望对大家有所帮助-A lossless image compression algorithm using Haffman coder. Hope to be helpful.
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Size: 418816 |
Author: 孟庆洋 |
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Description: alchemy 在DOS下无损图象格式转换。几乎支持所有你见过的位图间格式的转换，包括unix工作站、苹果机系统、pc机等。可对目录、文件等进行工作-alchemy DOS lossless image format conversion. Almost all the support you seen between the bitmap format conversion, including unix workstation, Apple System, pc, and so on. Contents may be right, work documents
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Size: 302080 |
Author: small www |
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Description: the loco-i lossless image compression algorithm, principle and standardization into jpeg-ls
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Size: 671744 |
Author: 洪瑞廷 |
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Description: 图像无损压缩的源代码我自己觉得特别好可以了解粒子滤波有一个基础-lossless compression of image source code I feel particularly good understanding of particle filter can be a basis
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Size: 1016832 |
Author: 王力 |
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Description: D5/3提升整数小波，可实现图像的无损压缩，包括一维和二维图像整数小波变换-D5/3 integer wavelet upgrade can realize lossless image compression, including the one-dimensional and two-dimensional image integer wavelet transform
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Size: 1024 |
Author: 赵翠芳 |
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Description: D5/3整数小波变化，实现二维图像的整数小波变化，可用于图像的无损压缩，可实现多级变换，用户可自己设定变换级数-D5/3 integer wavelet change, realize two-dimensional integer wavelet image changes, can be used for lossless image compression, multi-stage transformation can be realized, users can set their own transformation series
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Size: 173056 |
Author: 张冰 |
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Description: 基于整数小波变换的图像无损压缩方法-Based on Integer Wavelet Transform image lossless compression method
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Size: 244736 |
Author: 吴超峰 |
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Description: 该程序主要实现图像的无损压缩，具体算法包括：
（1）整数小波变换＋SPIHT无损压缩
其中整数小波可以采用JPEG2000提供的5－3小波，也可以采用S＋P变换，本程序均已给出。
（2）DPCM＋算术编码
DPCM采用的是JPEG中采用的方法；
（3）JPEG－LS标准
JPEG－LS的无损压缩性能非常好，超过JPEG2000。-The program mainly realize lossless image compression, the specific algorithm include: (1) integer wavelet transform SPIHT Integer Wavelet lossless compression which can be used to provide the 5-3 wavelet JPEG2000, can also adopt the S P transform, the procedures are given. (2) DPCM arithmetic coding DPCM is used in JPEG methodology (3) JPEG-LS standard JPEG-LS lossless compression of very good performance, more than JPEG2000.
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Size: 103424 |
Author: yang |
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Description: The purpose of this study is to compare between the to methods which is JPEG and JPEG2000 that are using in lossless image compression .
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Size: 481280 |
Author: mazen |
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Description: matlab环境下利用huffman编码实现图像无损压缩和文本的压缩-matlab environment implementation using huffman coding image lossless compression and text compression
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Size: 15360 |
Author: jj |
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Description: golomb编码，用于无损图像压缩等，基于quartusii平台。-golomb coding for lossless image compression, based on the platform quartusii.
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Size: 151552 |
Author: Tangyao |
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Description: 《图像的无损压缩编码方法及JPEG标准模式》概述了经典图像编码方法和无损数据压缩编码方法，分析了其基本思想和性能，介绍了图像压缩编码的国际标准。并指出图像压缩编码正处于蓬勃发展之中。
-" Lossless image compression coding method and the JPEG standard model" provides an overview of the classical method of image coding and non-destructive data compression coding method, an analysis of its basic ideas and the performance of image compression coding, introduced international standards. And pointed out that the image compression encoding is in a booming development.
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Size: 31744 |
Author: 王志伟 |
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Description: implementation approach for the compression of image data for lossless image compression saved in lower resolution and are retrieved with super resolution
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Size: 3072 |
Author: satya |
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Description: 章 图像编码与压缩
图像编码基础
无损压缩编码 行程编码
哈夫曼（ Huffman ）编码
算术编码 词典编码
有损压缩编码
预测编码
正交变换编码
MATLAB 实现余弦变换压缩
17.3.4 MATLAB 实现小波变换压缩 -S image coding and compression image coding based lossless compression stroke Huffman coding (Huffman) coding arithmetic coding, dictionary coding lossy compression encoding prediction coded orthogonal transform coding MATLAB realization of cosine transform compression 17.3.4 MATLAB wavelet compression to achieve
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Size: 2048 |
Author: 齐子新 |
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Description: Context-Based, Adaptive, Lossless Image Coding (CALIC)
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Size: 29696 |
Author: ZYX |
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Description: Lossless image compression plays a very important role in image processing. However, it develops very slowly and it is difficult to improve the efficiency of compression, since complete information and high fidelity are demanded. The lossless compression ratio of the conventional methods is around 2:1 and 3:1, which doesn’t satisfy practical compression needs. So, it is necessary to develop more efficient lossless image compression methods.
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Size: 15360 |
Author: rupesh |
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Description: 用Matlab对图像进行哈夫曼编码（Huffman Coding）以实现对图像的无损压缩-Use Matlab to realize Huffman coding for lossless image compression
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Size: 1024 |
Author: zhaojiepeng |
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Description: The optimal predictors of a lifting scheme in the general n-dimensional case are obtained and applied
for the lossless compression of still images using rst quincunx sampling and then simple row-column
sampling. In each case, the e ciency of the linear predictors is enhanced nonlinearly. Directional post-
processing is used in the quincunx case, and adaptive-length postprocessing in the row-column case. Both
methods are seen to perform well. The resulting nonlinear interpolation schemes achieve extremely e cient
image decorrelation. We further investigate context modeling and adaptive arithmetic coding of wavelet
coe cients in a lossless compression framework. Special attention is given to the modeling contexts and
the adaptation of the arithmetic coder to the actual data. Experimental evaluation shows that the best of
the resulting coders produces better results than other known algorithms for multiresolution-based lossless
image coding.
- The optimal predictors of a lifting scheme in the general n-dimensional case are obtained and applied
for the lossless compression of still images using rst quincunx sampling and then simple row-column
sampling. In each case, the e ciency of the linear predictors is enhanced nonlinearly. Directional post-
processing is used in the quincunx case, and adaptive-length postprocessing in the row-column case. Both
methods are seen to perform well. The resulting nonlinear interpolation schemes achieve extremely e cient
image decorrelation. We further investigate context modeling and adaptive arithmetic coding of wavelet
coe cients in a lossless compression framework. Special attention is given to the modeling contexts and
the adaptation of the arithmetic coder to the actual data. Experimental evaluation shows that the best of
the resulting coders produces better results than other known algorithms for multiresolution-based lossless
image coding.
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Size: 268288 |
Author: dee |
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