A psychovisual color image quality metric integrating both intra and inter channel masking effect

Any process applied to digital images has to be validated by a performance measure. In the compression area, this measure of performance provides a quality measure of the reconstructed images. The use of psychophysical tests to measure the quality is quite time consuming. Therefore, many quality metrics have been defined in order to reach a high correlation degree with the human judgment. In this paper, a perceptually tuned metric based on a wavelet transform and a measure of the intra- and inter-channel visual masking effect is developed. A performance measure is then computed in terms of correlation and robustness to the type of image.

[1]  J A Solomon,et al.  Model of visual contrast gain control and pattern masking. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[2]  B. Kȩdzia.  [Contrast sensitivity function of the visual system]. , 1988, Klinika oczna.

[3]  Julien Reichel,et al.  Opponent Color, Human Vision and Wavelets for Image Compression , 1999, Color Imaging Conference.

[4]  Julien Reichel,et al.  Image-compression-related contrast-masking measurements , 2000, Electronic Imaging.

[5]  Michel Barlaud,et al.  Image coding using wavelet transform , 1992, IEEE Trans. Image Process..

[6]  J. M. Foley,et al.  Human luminance pattern-vision mechanisms: masking experiments require a new model. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.

[7]  J. Robson.  Spatial and Temporal Contrast-Sensitivity Functions of the Visual System , 1966 .

[8]  Thierry Eude,et al.  An evaluation of quality metrics for compressed images based on human visual sensitivity , 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).