DocumentCode :
2604711
Title :
Adaptive algorithm for discontinuity preserving image restoration
Author :
Kumar, K. Sunil ; Desai, U.B.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
fYear :
1993
fDate :
3-6 May 1993
Firstpage :
399
Abstract :
Conventional adaptive algorithms for image restoration tend to blur the image by smoothing over discontinuities. To overcome this, a discontinuity preserving adaptive algorithm (DPAA) for image restoration is developed. The basic idea is to combine the continuous line field model with the usual linear finite impulse response (FIR) model used for image restoration. The constructed cost function is minimized using the gradient descent algorithm in adaptive setup. Computational cost and simulation results are given to aid comparison of DPAA and the conventional 2-D least mean square (LSD) algorithm
Keywords :
adaptive signal processing; image restoration; least mean squares methods; 2D least mean square algorithm; adaptive algorithms; computational cost; continuous line field model; discontinuity preserving image restoration; function; gradient descent algorithm; linear finite impulse response; Adaptive algorithm; Adaptive filters; Computational efficiency; Computational modeling; Cost function; Finite impulse response filter; Image restoration; Layout; Signal processing algorithms; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
Type :
conf
DOI :
10.1109/ISCAS.1993.393742
Filename :
393742
Link To Document :
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