Title :
A fuzzy filter for dynamic range reduction and contrast enhancement
Author :
Mancuso, M. ; Poiuzzi, R. ; Rizzotto, G.G.
Author_Institution :
Fuzzy Logic Res. Group, Catania Univ., Italy
Abstract :
When an image with a large dynamic range is recorded on media with a smaller dynamic range, details that represents in very high and/or very low luminance regions become invisible. In this paper a fuzzy logic based solution to this problem is proposed. The algorithm estimates the image brightness and hence common sense rules determine the amount of dynamic range reduction. These rules are based on global (i.e. image level) and local (i.e. pixel level) brightness characteristics. To extract visual details, a fuzzy process calculates the contrast amplification factor according to the luminance reduction performed
Keywords :
adaptive filters; brightness; filtering theory; fuzzy logic; fuzzy set theory; image enhancement; common sense rules; contrast amplification factor; contrast enhancement; dynamic range reduction; fuzzy filter; fuzzy logic; global brightness characteristics; image brightness; local brightness characteristics; luminance reduction; luminance regions; visual detail extraction; Adaptive filters; Brightness; Dynamic range; Filtering; Fuzzy logic; Fuzzy set theory; Lighting; Microelectronics; Pixel; Reflectivity;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343678