Description: 实现一般的图象自适应算术编码的功能.该程序能够在一般的图象压缩中都能够应用。特别是在JPEG和JPEG2-realization of the image adaptive arithmetic coding functions. The procedure to the general image compression can be used. Especially in JPEG and JPEG2 Platform: |
Size: 19976 |
Author:zhz |
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Description: 算术编码程序设计及具体示例，适合初学者掌握基于MATLAB的算术编码-Arithmetic coding procedures for the design and specific examples, suitable for beginners to master the arithmetic coding based on MATLAB Platform: |
Size: 5120 |
Author:HARRY |
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Description: 针对二值图像的压缩实现了算术编码以及解码 并在此基础上实现了一节自适应算术编码 有很好的压缩效果-For binary image compression realize the arithmetic coding and decoding and on this basis has been realized a very good adaptive arithmetic coding compression has the effect of Platform: |
Size: 5120 |
Author:xwolfs |
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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 |
Hits:
Search - adaptive arithmetic coding image compression