Title :
A new image compression algorithm base on rotating mapping and curve fitting
Author :
Yuguang Liu ; Shuhua Peng
Author_Institution :
Autom. Dept., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
It´s very common to meet most parts of image that have common geometric features, such as linear or rectangular. Basing on those geometric features, a new image compression algorithm is proposed in this paper, which is called rotating mapping curve fitting (RMCF) image compression. Experimental results show that the algorithm is feasible, and has good performance in high compression ratio.
Keywords :
curve fitting; data compression; image coding; RMCF image compression algorithm; image geometric features; rotating mapping curve fitting; Approximation algorithms; Bismuth; Curve fitting; Fractals; Image coding; Surface fitting; Transform coding; box-counting dimension; curve fitting; image compression; rotating mapping;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015141
