Title :
Information matrix and image compression
Author_Institution :
Inst. of Resources Sci., Beijing Normal Univ., China
Abstract :
In this paper, we introduce a new fuzzy technique, information matrix, to compress images. With high compression speed, this fuzzy technique has compression ratio more than 50% for any original image and the reconstructed image quality is good, although not exactly as the same as the original image. In this paper we give two examples to show the compression ratio and the reconstructed image quality. One is a curve with 100 points. We compress this image with 20 rules. The compression ratio is 79%. Another is a colour picture with flowers. The compression ratio is 50%.
Keywords :
data compression; discrete cosine transforms; fuzzy set theory; image colour analysis; compression ratio; compression speed; discrete cosine transforms; fuzzy technique; image compression; information matrix; reconstructed image quality; Discrete Fourier transforms; Discrete cosine transforms; Fractals; Fuzzy systems; Genetic algorithms; Image coding; Image quality; Image reconstruction; Neural networks; Transform coding;
Conference_Titel :
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN :
0-7803-7918-7
DOI :
10.1109/NAFIPS.2003.1226769
