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 Platform: |
Size: 1016832 |
Author:王力 |
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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 Platform: |
Size: 173056 |
Author:张冰 |
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Description: 提出了一种基于 JPEG/JPEG2000相结合的医学图像感兴趣区域压缩方法。该方法对在人为选定
医学图像的感兴趣区域采用无损的 JPEG2000压缩 ,而对其他图像区域则采用高压缩比的 JPEG压缩,较好地解决了医学图像的高压缩比和高质量之间的矛盾。-Based on a combination of JPEG/JPEG2000 region of interest of medical image compression method. The method of artificially selected region of interest of medical images using lossless JPEG2000 compression, and on other image regions using high compression ratio of JPEG compression, a better solution to the medical image and high-quality high-compression ratio between the contradictions. Platform: |
Size: 283648 |
Author:胡敏 |
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Description: 这是关于图象压缩的程序，包括有损压缩或无损压缩两类。用的是jpeg2000的压缩标准，但是这是jpeg2000的第一部分-This is the image compression procedures, including lossy compression or lossless compression of two categories. Using the JPEG2000 compression standard, but this is the first part of JPEG2000 Platform: |
Size: 3432448 |
Author:郑黎 |
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Description: JPEG 2000正式名称为ISO 15444，是一种基于离散小波变换的新型图像压缩方法，与基于离散余弦变换的JPEG压缩方法相比较，具有多分辨率表达、更好的去相关能力、高压缩比、按视觉模型量化等优点，并同时提供无损和有损压缩算法-JPEG 2000 is formally known as ISO 15444, is a discrete wavelet transform based on a new type of image compression methods, and based on the discrete cosine transform JPEG compression method, compared with the expression of multi-resolution, better related to ability, high compression ratio, by the visual model to quantify the advantages, as well as providing lossless and lossy compression algorithms Platform: |
Size: 762880 |
Author:zhenzhen |
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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. Platform: |
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 . Platform: |
Size: 481280 |
Author:mazen |
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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. Platform: |
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. Platform: |
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 Platform: |
Size: 3072 |
Author:satya |
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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. Platform: |
Size: 15360 |
Author:rupesh |
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Description: The efficiency of perceptual coding in compressing color
images relies on the estimation of perceptual redundancy.
In this paper, a color image coder is proposed for perceptually
lossless image compression which shapes the coding
error as a part of perceptual redundancy. The perceptual
redundancy inherent in each pixel of a color image is
estimated in terms of a triple of values, one for each color
channel, as a detection threshold for distortion. Platform: |
Size: 266240 |
Author:SKP |
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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.
Platform: |
Size: 268288 |
Author:dee |
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Search - lossless image compression