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