IMAGE COMPRESSION USING VQ-BTC

被引：28
|
作者：
MOHAMED, SA [1 ]
FAHMY, MM [1 ]
机构：
[1] KING FAHD UNIV PETR & MINERALS,DEPT ELECT ENGN,DHAHRAN 31261,SAUDI ARABIA
来源：
IEEE TRANSACTIONS ON COMMUNICATIONS | 1995年 / 43卷 / 07期
关键词：
D O I：
10.1109/26.392959
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Vector quantization (VQ) and block truncation coding (BTC) are successful image compression techniques, However, 31 a reproduced image using VQ or BTC suffers from edge degradation. In this paper, a new technique that combines the advantages of both VQ and BTC to combat this degradation is presented and will be referred to as VQ-BTC. In VQ-BTC, a low-detail block is encoded using VQ. For a high-detail block, a modification of BTC is used to determine the locations of the relatively lighter and relatively darker pixels inside the block and VQ is then used to encode each, VQ-BTC provides improved edge reproduction and much lower bit rates than those obtained by BTC.
引用
收藏
页码：2177 / 2182
页数：6
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