基于上下文建模的分類排序小波圖像編碼算法
Context-Based Quantization and Sorting in Wavelet Image Coding
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摘要: 該文提出了基于上下文建模的分類排序小波圖像編碼算法。該方法使用與JPEG2000標(biāo)準(zhǔn)相同的上下文模型，以最小化相對熵為準(zhǔn)則用動態(tài)規(guī)劃獲得優(yōu)化的上下文分類。在重要性編碼中結(jié)合優(yōu)化的上下文分類進(jìn)行排序編碼。實驗數(shù)據(jù)表明該算法的壓縮能力優(yōu)于JPEG2000，尤其適于低碼率壓縮。
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關(guān)鍵詞:
- 上下文建模; 下文排序; 上下文分類; 重要性編碼
Abstract: A context-based quantization and sorting algorithm used in wavelet image coding is proposed. The context template in the scheme is the same as JPEG2000s. The optimum context-based quantization is achieved by the means of dynamic programming for minimum relative entropy, and the pixel sorting coding is combined with optimum context quantization in significance coding. The results indicate the compression performance of the proposed algorithm is better than that of JPEG2000, especially at low bit-rate compression. -
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