EFFICIENT VARIABLE-RATE VECTOR QUANTIZATION USING QUADTREE SEGMENTATION

In video and image compression, vector quantization can be fixed rate or variable rate depending on how the encoding codebook is structured Previous variable rate vector quantization scheme using greedy tree gr owing algorithm partitions images into fixed size blocks and has not e xploited the correlation in the low derail blocks. A new and efficient variable rate vector quantization scheme based on variable block size quadtree segmentation is proposed in this paper. Simulation results s how that the proposed variable block size variable rate vector quantiz ation scheme achieved better subjective image quality with higher PSNR at a reduced bit rate as compared with the fixed block size variable rate vector quantization scheme.