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