JOURNAL ARTICLE

<title>Perceptual distortion metric for digital color video</title>

Stefan Winkler

Year: 1999 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE   Publisher: SPIE

Abstract

In this paper I present a distortion metric for color video sequences. It is based on a contrast gain control model of the human visual system that incorporates spatial and temporal aspects of vision as well as color perception. The model achieves a close fit to contrast sensitivity and contrast masking data from several different psychophysical experiments for both luminance and color stimuli. The metric is used to assess the quality of MPEG-coded sequences.

Keywords:
Computer science Luminance Contrast (vision) Computer vision Artificial intelligence Metric (unit) Distortion (music) Masking (illustration) Human visual system model Perception Color space Sensitivity (control systems) Bandwidth (computing) Image (mathematics) Telecommunications

Metrics

250
Cited By
4.40
FWCI (Field Weighted Citation Impact)
0
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Color Science and Applications
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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