Perceptually optimal restoration of images with stack filters

Author

Huang, J.-J. ; Coyle, E.J.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

5

fYear

1998

Firstpage

2873

Abstract

The present approach to the MAE-based design of stack filters for image restoration does not always produce the desired visual result. Thus, in this paper, a new stack filter design algorithm is developed. It is based upon a weighted mean absolute error (WMAE) criterion instead of the traditional MAE criterion, which assigns the same weights to all errors. The weights in this WMAE criterion are designed with the aid of the visible differences predictor (VDP), which can estimate the sensitivity of the human visual system to changes in images. Experiments with this WMAE approach show that the stack filters it produces perform significantly better in image processing applications than those designed with the MAE approach

Keywords

discrete time filters; error analysis; filtering theory; image restoration; nonlinear filters; optimisation; prediction theory; visual perception; MAE-based design; WMAE criterion; discrete-time nonlinear filters; error weights; experiments; human visual system sensitivity; image processing applications; perceptually optimal image restoration; stack filter design algorithm; visible differences predictor; weighted mean absolute error; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Design engineering; Humans; Image processing; Image restoration; Noise reduction; Nonlinear filters; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.678125

Filename

678125