Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.678125
