New Bit Reduction of Vector Quantization Using Block Prediction and Relative Addressing

Authors:
Yu-Chen Hu;Piyu Tsai;Chun-Chi Lo
Affiliations:
(Correspd.) Department of Computer Science and Information Management, Providence University, Taichung, 433, Taiwan. ychu@pu.edu.tw;Department of Computer Science and Information Engineering, National United University, Miaoli, 360, Taiwan. pytsai@nuu.edu.tw;Department of Computer Science and Information Engineering, Providence University, Taichung, 433, Taiwan. cclo@pu.edu.tw
Venue:
Fundamenta Informaticae
Year:
2008

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Abstract

A low bit rate image coding scheme based on vector quantization is proposed. In this scheme, the block prediction coding and the relative addressing techniques are employed to cut down the required bit rate of vector quantization. In block prediction coding, neighboring encoded blocks are taken to compress the current block if a high degree of similarity between them is existed. In the relative addressing technique, the redundancy among neighboring indices are exploited to reduce the bit rate. From the results, it is shown that the proposed scheme significantly reduces the bit rate of VQ while keeping good image quality of compressed images.