论文信息 - Perceptually optimal restoration of images with stack filters

Perceptually optimal restoration of images with stack filters

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.

Edward J. Coyle | Jr-Jen Huang

[1] Edward J. Coyle,et al. A fast algorithm for designing stack filters , 1999, IEEE Trans. Image Process..

[2] Edward J. Coyle,et al. Stack filters , 1986, IEEE Trans. Acoust. Speech Signal Process..

[3] Edward J. Coyle,et al. Threshold decomposition of multidimensional ranked order operations , 1985 .

[4] Scott J. Daly,et al. Visible differences predictor: an algorithm for the assessment of image fidelity , 1992, Electronic Imaging.

[5] J. Fitch,et al. Median filtering by threshold decomposition , 1984 .

[6] Edward J. Coyle,et al. Minimum mean absolute error estimation over the class of generalized stack filters , 1990, IEEE Trans. Acoust. Speech Signal Process..