Fast fractal compression by classification based on block variance and wavelet transform

被引：0

作者：

Deng, HQ ^{[1
]}

Xie, N ^{[1
]}

Weng, WH ^{[1
]}

Yu, YL ^{[1
]}

机构：

[1] S China Univ Technol, Dept Appl Phys, Guangzhou 510641, Peoples R China

来源：

HYBRID IMAGE AND SIGNAL PROCESSING VI | 1998年 / 3389卷

关键词：

fractal coding; block variance; wavelet transform; reconstruct;

D O I：

10.1117/12.316551

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional fractal coding searches the best mapping domain block in a searching pool, applying 8 symmetry operation to each domain block to satisfy the tolerance condition, thus increasing coding complexity greatly. We here present a new fast fractal image compression method based on block variance and wavelet transform which increase the coding speed up to 25 times and the reconstructed image has no obvious degradation in visual quality.

引用

页码：66 / 70

页数：5