Description: EZW (Embedded Zerotrees of Wavelet Transforms) is a lossy image compression algorithm. At low bit rates (i.e. high compression ratios) most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). However where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.
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Author:vishnu |
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Description: 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 Platform: |
Size: 4826112 |
Author:李阳 |
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Description: mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme. Platform: |
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Author:selvakumar |
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Search - subband coding image