An embedded image coding system based on tarp filter with classification
An embedded image coding system based on tarp filter with classification
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DOI：
10.1109/icassp.2004.1326478
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发表时间：
2004-05
期刊：
影响因子：
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通讯作者：
C. Tian;S. Hemami
中科院分区：
文献类型：
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作者：
C. Tian;S. Hemami
近年来，基于tarp滤波器（一种递归滤波器）的图像压缩系统在图像处理界引起了广泛的关注。虽然在以非嵌入方式使用时提供非常好的性能，但是由于其光栅扫描编码顺序，原始的基于tarp滤波器的算法在以嵌入方式使用时（尽管其在位平面上进行操作）表现得不太有竞争力。我们提出了一个基于Tarp滤波器的系统，它利用系数的分类来实现嵌入（TCE）。该算法根据系数的统计特性对其进行分类，并且tarp滤波器仅在其倾向于生成准确概率估计的单个类上运行。TCE可以实现更好的率失真嵌入性能比原来的基于tarp滤波器的系统时，在嵌入式方式使用，它实现了略好于SPIHT与算术编码的性能，并与JPEG-2000的平均性能相当。
Recently, image compression systems based on the tarp filter, a type of recursive filter, have attracted much attention in the image processing community. While providing very good performance when used in a non-embedded manner, the original tarp-filter-based algorithm performs less competitively when used in an embedded manner (in spite of its operation on bitplanes), because of its raster scan encoding order. We propose a Tarp-filter-based system which utilizes Classification of coefficients to achieve Embedding (TCE). The algorithm classifies the coefficients according to their statistical properties, and the tarp filter only runs on the single class on which it tends to generate accurate probability estimates. TCE can achieve much better rate-distortion embedding performance than the original tarp-filter-based system when used in an embedded manner; it achieves slightly better performance than SPIHT with arithmetic coding, and is comparable with JPEG-2000 performance on average.