Low-complexity 8 x 8 transform for image compression

被引：78
|
作者：
Bouguezel, S. [1 ]
Ahmad, M. O. [2 ]
Swamy, M. N. S. [2 ]
机构：
[1] Univ Setif, Dept Elect, Fac Engn, Setif 19000, Algeria
[2] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源：
ELECTRONICS LETTERS | 2008年 / 44卷 / 21期
关键词：
D O I：
10.1049/el:20082239
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：
An efficient 8 x 8 sparse orthogonal transform matrix is proposed for image compression by appropriately introducing some zeros in the 8 x 8 signed discrete cosine transform (SDCT) matrix. An algorithm for its fast computation is also developed. It is shown that the proposed transform provides a 25% reduction in the number of arithmetic operations with a performance in image compression that is much superior to that of the SDCT and comparable to that of the approximated discrete cosine transform.
引用
收藏
页码：1249 / U30
页数：2
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