Title :
A perceptual distortion metric for digital color images
Author_Institution :
Signal Process. Lab., Fed. Inst. of Technol., Lausanne
Abstract :
This paper presents a comprehensive distortion metric for digital color images. It is based on a normalization model of the human visual system that incorporates color perception. The model is shown to accurately fit psychophysical contrast sensitivity data as well as intra- and inter-channel contrast masking data from several different psychophysical experiments. The output of the metric is compared with subjective data for natural images
Keywords :
image colour analysis; color perception; digital color image; human visual system; inter-channel contrast masking data; intra-channel contrast masking data; natural images; normalization model; perceptual distortion metric; psychophysical contrast sensitivity data; Brain modeling; Color; Digital images; Distortion measurement; Humans; Image coding; Image converters; PSNR; Signal processing algorithms; 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.1998.999029
