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Image subband coding using arithmetic coded trellis coded quantization

机译:使用算术编码网格编码量化的图像子带编码

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摘要

A method is presented for encoding memoryless sources using trellis coded quantization (TCQ) with uniform thresholds. The trellis symbols are entropy-coded using arithmetic coding. The performance of the arithmetic coded uniform threshold TCQ, for encoding the family of generalized Gaussian densities, is compared with uniform threshold quantization (UTQ) and the Shannon lower bound (SLB). At high rates, the method performs within 0.5 dB of the rate-distortion bound for the family of generalized Gaussian densities. A simple modification of the uniform codebook is shown to result in improved performance at low bit rates. The arithmetic and trellis coding method is used for encoding image subbands. Coding results for monochrome images are presented and compared with other results in the literature. Working C code that implements arithmetic coded uniform threshold TCQ can be obtained using anonymous ftp.
机译:提出了一种使用具有统一阈值的网格编码量化(TCQ)对无内存源进行编码的方法。使用算术编码对网格符号进行熵编码。将用于编码广义高斯密度族的算术编码统一阈值TCQ的性能与统一阈值量化(UTQ)和Shannon下限(SLB)进行比较。在高速率下,该方法在广义高斯密度族的速率失真范围的0.5 dB之内执行。示出了对统一码本的简单修改以在低比特率下导致改善的性能。算术和网格编码方法用于编码图像子带。给出了单色图像的编码结果,并将其与文献中的其他结果进行比较。可以使用匿名ftp获取实现算术编码统一阈值TCQ的工作C代码。

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