DocumentCode :
3465995
Title :
Nonlinear filters for image sharpening and smoothing
Author :
Mitra, Sanjit K. ; Yu, Tian-Hu
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fYear :
1993
fDate :
1-3 Aug. 1993
Firstpage :
241
Lastpage :
244
Abstract :
A general approach to the transform-magnitude-shaping-based image enhancement method is advanced. In the method, the magnitude of the input image transform is modified using a nonlinear mapping expressible as a power series, while its phase is kept invariant. The inverse transform of the modified image transform results in a sharpening or smoothing depending on the choice of the power series coefficients. Further improvement in the overall enhancement is achieved by a two-channel processing scheme which is implemented by applying different transform amplitude shaping methods to the low-frequency and high-frequency components. Examples the proposed enhancement method are included.<>
Keywords :
filtering and prediction theory; picture processing; transforms; high-frequency; image sharpening; input image transform; inverse transform; low-frequency; nonlinear mapping; picture processing; power series; smoothing; transform-magnitude-shaping-based image enhancement method; two-channel processing scheme; Filtering; Image processing; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Engineering, 1991., IEEE International Conference on
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0173-0
Type :
conf
DOI :
10.1109/ICSYSE.1991.161123
Filename :
161123
Link To Document :
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