DocumentCode
3361514
Title
Color image filtering and enhancement based genetic algorithms
Author
Lukac, R. ; Plataniotis, K.N. ; Smolka, B. ; Venetsanopoulos, A.N.
Author_Institution
Edward S. Rogers Sr. Dept. of ECE, Toronto Univ., Ont., Canada
Volume
3
fYear
2004
fDate
23-26 May 2004
Abstract
Genetic algorithms (GA) are applied to recently developed weighted vector directional filter (WVDF) optimization with subject to color image filtering and enhancement. After the GA optimization, the proposed WVDF filters are capable of removing noise in color images, while preserving image details, structural contents and color information. Due to excellent color/structural preserving characteristics, the proposed filters produce high-quality outputs when applying the real color image problem such as television image enhancement and virtual restoration of artworks.
Keywords
filtering theory; genetic algorithms; image colour analysis; image denoising; image enhancement; GA optimization; color image enhancement; color image filtering; color information; color preserving characteristics; genetic algorithms; high-quality color image; image details; structural contents; structural preserving characteristics; television image enhancement; virtual artworks restoration; weighted vector directional filter optimization; Color; Colored noise; Educational institutions; Genetic algorithms; Information filtering; Information filters; Laboratories; Multimedia communication; Strontium; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN
0-7803-8251-X
Type
conf
DOI
10.1109/ISCAS.2004.1328896
Filename
1328896
Link To Document