Title :
Perceptual image distortion
Author :
Teo, Patrick C. ; Heeger, David J.
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA, USA
Abstract :
In this paper, we present a perceptual distortion measure that predicts image integrity far better than mean-squared error. This perceptual distortion measure is based an a model of human visual processing that fits empirical measurements of the psychophysics of spatial pattern detection. The model of human visual processing proposed involves two major components: a steerable pyramid transform and contrast normalization. We also illustrate the usefulness of the model in predicting perceptual distortion in real images
Keywords :
data compression; image coding; image recognition; transforms; visual perception; contrast normalization; empirical measurements; human visual processing; image integrity; mean-squared error; model; perceptual image distortion; psychophysics; real images; spatial pattern detection; steerable pyramid transform; Area measurement; Data compression; Distortion measurement; Energy measurement; Humans; Image coding; Image processing; Predictive models; Psychology; Quantization;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413502
