A rate-distortion based quantization level adjustment algorithm in block-based video compression |
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| Authors: | Wei Jiang Jia Wang Jun Sun |
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| Affiliation: | (1) School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai, 200090, China;(2) School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, 200240, China |
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| Abstract: | In this paper, a rate-distortion based quantization level adjustment (RDQLA) algorithm is presented. Based on the rate-distortion criterion, the quantization level adjustment algorithm effectively improves coding efficiency by adaptively optimizing quantization levels of the signals near the boundaries of quantization cells and adjusting quantization levels per block. In addition, it has no overhead and is fully compatible with the existing compression standards. The proposed algorithm can be applied in any block based image and video coding method. In particular, the algorithm has been verified on the platform of H.264. Experimental results show that the proposed algorithm improves objective and subjective performances substantially. It is shown that the proposed algorithm has a gain of several dB comparing with the newest H.264 standard for high bit rates. Foundation item: the Special Foundation of Outstanding Young Teacher of Shanghai |
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| Keywords: | rate-distortion quantization dead-zone video standards |
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