COMBINED TECHNIQUES OF SINGULAR-VALUE DECOMPOSITION AND VECTOR QUANTIZATION FOR IMAGE-CODING

The combination of singular value decomposition (SVD) and vector quant ization (VQ) is proposed as a compression technique to achieve low bit rate and high quality image coding, Given a codebook consisting of si ngular vectors, two algorithms, which find the best-fit candidates wit hout involving the complicated SVD computation, are described, Simulat ion results show that tbe proposed methods are better than the discret e cosine transform (DCT) in terms of energy compaction, data rate, ima ge quality, and decoding complexity.