DocumentCode :
2020746
Title :
A new class of nonlinear filters for image enhancement
Author :
Mitra, Sanjit K. ; Li, Hui ; Lin, Ing-Song ; Yu, Tian-Hu
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
2525
Abstract :
Two types of very simple two-dimensional nonlinear filters are introduced and applied to image contrast enhancement. The first type is based on a generalization of the Teager´s algorithm. A theoretical analysis has shown that this type of nonlinear filter works like a local-mean-weighted highpass filter. Based on this analysis, a second type of nonlinear filter has been developed which works like local-mean-weighted bandpass filter. The proposed image contrast enhancement technique is based on combining the original image with its filtered version obtained using one of the two nonlinear filters. Very high quality enhancement has been achieved for natural images
Keywords :
filtering and prediction theory; nonlinear network analysis; picture processing; two-dimensional digital filters; Teager´s algorithm; digital filter; image contrast enhancement; image quality; local-mean-weighted bandpass filter; local-mean-weighted highpass filter; two-dimensional nonlinear filters; Band pass filters; Brightness; Filtering; Histograms; Image enhancement; Image processing; Laboratories; Nonlinear filters; Pixel; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150915
Filename :
150915
Link To Document :
بازگشت