Dynamic Fractal Transform with Applications to Image Data Compression

作     者：王舟 余英林 

作者机构：Dept.ofElectronicandCommunicationEngineeringSouthChinaUniv.ofTechnologyGuangzhou510641 Dept.ofElectr 

出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)

年 卷 期：1997年第12卷第3期

页      面：202-209页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：广东省自然科学基金 国家攀登计划项目 国家自然科学基金 

主　　题：Fractals Iterated Function System (IFS) data compression,image processing 

摘      要：A recent trend in computer graphics and image processing is to use Iterated Function System (IFS) to generate and describe both man-made graphics and natural images. Jacquin was the first to propose a fully automatic gray scale image compression algorithm which is referred to as a typical static fractal transform based algorithm in this paper. By using this algorithm, an image can be condensely described as a fractal transform operator which is the combination of a set of fractal mappings. When the fractal transform operator is iteratedly applied to any initial image, a unique attractor (reconstructed image) can be achieved. In this paper) a dynamic fractal transform is presented which is a modification of the static transform. Instead of being fixed, the dynamic transform operator varies in each decoder iteration, thus differs from static transform operators. The new transform has advantages in improving coding efficiency and shows better convergence for the decoder.