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 (1024×768 pixels), SXGA (1280×1024 pixels) and UXGA (1600×1200 pixels) images including text, for instance, there exists the overwhelming performance superiority of more than 5 dB in compressed image quality.
Original language | English |
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Pages | 275-278 |
Number of pages | 4 |
Publication status | Published - 2003 Dec 17 |
Event | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: 2003 Sep 14 → 2003 Sep 17 |
Other
Other | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 |
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Country/Territory | Spain |
City | Barcelona |
Period | 03/9/14 → 03/9/17 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering