Title :
Acceleration of Fractal Image Compression using Characteristic Vector Classification
Author :
Rowshanbin, Narges ; Samavi, Shadrokh ; Shirani, Shahram
Author_Institution :
Dept. of Elect. & Comput. Eng., Isfahan Univ. of Technol.
Abstract :
Even though fractal image compression would result in high compression ratio and good quality of the reconstructed image, it rarely used due to its time consuming coding procedure. The most sluggish stage of the compression in this method is for finding the best matched domain block for every range block of the image. In this paper we propose a method which by using a special characteristic vector classifies the domain blocks of the image. Therefore, the search process is accelerated and the quality of the reconstructed image is preserved
Keywords :
data compression; image classification; image coding; image matching; image reconstruction; characteristic vector classification; fractal image compression; image reconstruction; Acceleration; Clocks; Compression algorithms; Fractals; Image coding; Image reconstruction; Image storage; Information retrieval; Mobile communication; Reflection; Fractal image compression; characteristic vector; classification;
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
DOI :
10.1109/CCECE.2006.277529