A reduced domain pool based on DCT for a fast fractal image encoding

ELCVIA Electronic Letters on Computer Vision and Image Analysis

Abdallah Bagri¹  Amer Abdelhakim El Imrani²  Sofia Douda¹ 

[1] Faculté des Sciences et Techniques, Settat;Faculté des Sciences Rabat

关键词: Statistical and non linear methods;    Image Fusion;    Surveillance and Navigation;   

DOI  :  

学科分类：计算机科学（综合）

来源: ELCVIA

【 摘 要 】

Fractal image compression is time consuming due to the search of the matching between range and domain blocks. In order to improve this compression method, we propose firstly, in this paper, a fast method for reducing the computational complexity of fractal encoding by reducing the size of the domain pool. This reduction is based on the lowest horizontal and vertical DCT coefficients of domain blocks. The experimental results on the test images show that the proposed method reduce the time computation and reach a high speedup factor without decreasing the image quality. Secondly, we combine our method to the AP2D approach which uses two domain pools in two steps of encoding. A more reduction of encoding time is obtained without decreasing the image quality.

【 授权许可】

Unknown