AN IMAGE ENCODING ALGORITHM USING VARIABLE-RATE CORRELATION VECTOR QUANTIZER BASED ON THE MATCHING OF CHARACTERISTIC VALUES

A novel variable-rate correlation vector quantizer is presented for image encoding in this paper. Before encoding, four characteristic values of each codeword are computed, then four corresponding sorted codebooks are obtained according to the ascending order of the four characteristic values of codewords respectively. During the encoding, high correlation of the adjacent image blocks and characteristic values of the current processing vector and codewords are considered to encode the current processing vector. Experimental results show that, although the encoding quality of the proposed algorithm is a little worse than that of the conventional VCS, the bit rate of the proposed algorithm is tower than that of the conventional VQ, and the encoding time of the proposed algorithm is much shorter than that of the conventional VCS.