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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Sharp Labs Amer Camas WA 98607 USA
出 版 物:《IEEE TRANSACTIONS ON IMAGE PROCESSING》 (IEEE Trans Image Process)
年 卷 期:1999年第8卷第7期
页 面:913-924页
核心收录:
学科分类:0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:embedded coding image coding rate-distortion optimization rate-distortion slope scalability wavelet
摘 要:It is well known that the fixed rate coder achieves optimality when all coefficients are coded with the same rate-distortion (R-D) slope. In this paper, we show that the performance of the embedded coder can be optimized in a rate-distortion sense by coding the coefficients with decreasing R-D slope. We denote such coding strategy as rate-distortion optimized embedding (RDE). RDE allocates the available coding bits first to the coefficient with the steepest R-D slope, i.e., the largest distortion decrease per coding bit. The resultant coding bitstream can be truncated at any point and still maintain an optimal R-D performance. To avoid the overhead of coding order transmission, we use the expected R-D slope, which can be calculated from the coded bits and is available in both the encoder and the decoder. With the probability estimation table of the QM-coder, the calculation of the R-D slope can be just a lookup table operation. Experimental results show that the rate-distortion optimization significantly improves the coding efficiency in a wide bit rate range.