Title :
Perceptual error criteria and 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 that assigns the same weights to all errors. The weights in the WMAE criterion are designed with 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 :
adaptive filters; filtering theory; image restoration; nonlinear filters; prediction theory; stack filters; MAE-based design; WMAE approach; adaptive algorithm; experiments; human visual system; image changes; image processing applications; image restoration; nonlinear filter; perceptual error criteria; stack filter design algorithm; visible differences predictor; weighted mean absolute error; Adaptive filters; Algorithm design and analysis; Filtering theory; Frequency; Humans; Image processing; Image restoration; Noise reduction; Nonlinear filters; Visual system;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723692