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Fast Image Coding Algorithm Using Indirect-Index Codebook Based on SMVQ
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作者 Bin-Bin Xia An-Hong Wang +1 位作者 Chin-Chen Chang Li Liu 《Journal of Electronic Science and Technology》 CAS CSCD 2016年第2期183-190,共8页
Side-match vector quantization (SMVQ) achieves better compression performance than vector quantization (VQ) in image coding due to its exploration of the dependence of adjacent pixels. However, SMVQ has the disadv... Side-match vector quantization (SMVQ) achieves better compression performance than vector quantization (VQ) in image coding due to its exploration of the dependence of adjacent pixels. However, SMVQ has the disadvantage of requiring excessive time during the process of coding. Therefore, this paper proposes a fast image coding algorithm using indirect-index codebook based on SMVQ (IIC-SMVQ) to reduce the coding time. Two codebooks, named indirect-index codebook (II-codebook) and entire-state codebook (ES-codebook), are trained and utilized. The II-codebook is trained by using the Linde-Buzo-Gray (LBG) algorithm from side-match information, while the ES-codebook is generated from the clustered residual blocks on the basis of the II-codebook. According to the relationship between these two codebooks, the codeword in the II-codebook can be regarded as an indicator to construct a fast search path, which guides in quickly determining the state codebook from the ES-codebook to encode the to-be-encoded block. The experimental results confirm that the coding time of the proposed scheme is shorter than that of the previous SMVQ. 展开更多
关键词 Entire-state codebook indirect-indexcodebook linde-bnzo-gray side-match vectorquantization.
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