Still image compression method based on adaptive block segmentation vector quantization technique

Abstract

In order to increase the performance of image compression by vector quantization (VQ), we have developed a new still image compression algorithm. Adaptive block segmentation vector quantization (ABS-VQ) method, which is composed of three key techniques, i.e., the resolution conversion, the quad tree data structure and the mean-residual VQ, can realize much superior compression performance than the worldwide standard JPEG and JPEG-2000. On the compression of the XGA (1024/spl times/768 pixels), SXGA (1280/spl times/1024 pixels) and UXGA (1600/spl times/1200 pixels) images including text, for instance, there exists the overwhelming performance superiority of more than 5 dB in compressed image quality.