DocumentCode :
1696243
Title :
Diffusion of the attractor of fractal coding for edge restoration
Author :
Bruner, Nikki ; Yarlagadda, Rao
Author_Institution :
Oklahoma State Univ., Stillwater, OK, USA
Volume :
5
fYear :
1998
Firstpage :
2945
Abstract :
Diffusion of the attractor or reconstructed image of the fractal code provides a technique to restore edge information. Because of coding error associated with the fractal mappings, edges are degraded at high compression ratios. Partitioning compensates for the degradation, but lowers the compression ratios significantly and does not insure the retention of significant edges. The diffusion technique uses the image gradient to control the rate and direction of diffusion. This allows for smoothing in flat (low intensity transitions) regions and sharpening in edge (high intensity transitions) regions. The usage of the image gradient in this method insures the retention of significant edges. The diffusion technique presented in this paper lessens the degree of degradation of edges from fractal coding at a lower bit rate cost than partitioning at small block sizes
Keywords :
coding errors; data compression; edge detection; fractals; image coding; image restoration; smoothing methods; attractor diffusion; bit rate cost; coding error; diffusion direction control; diffusion rate control; edge restoration; fractal code; fractal coding; fractal mappings; high compression ratios; image gradient; partitioning; reconstructed image; smoothing; Clouds; Contracts; Degradation; Fractals; Image coding; Image edge detection; Image reconstruction; Image restoration; Pixel; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.678143
Filename :
678143
Link To Document :
بازگشت