Paper
19 May 1999 Video quality evaluation using ST-CIELAB
Xin Tong, David J. Heeger, Christian J. Van den Branden Lambrecht
Author Affiliations +
Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348439
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
With the rapid growth of internet and digital video technology, perceptual assessment of video quality is becoming more important. An automatic assessment procedure based on some human vision model is desirable because subjective video quality measurement is costly and time- consuming. We propose a video quality metric called spatio- temporal CIELAB (ST-CIELAB). ST-CIELAB is an extension of the spatial CIELAB (S-CIELAB) image quality metric, that is itself an extension of the CIELAB color standard. The ST- CIELAB metric is based on a spatial, temporal, and chromatic model of human contrast sensitivity. Few such video quality metrics, accounting for human temporal as well as spatial sensitivities, have been proposed and they are based on multi-resolution, subband decomposition, models of human pattern sensitivity. ST-CIELAB is single-resolution which offers computational advantages over multi-resolution models. The ST-CIELAB rating is in units of JND, providing a meaningful interpretation of the rating. The ST-CIELAB metric was designed to fit published contrast sensitivity data, and ST-CIELAB is backward compatible with the well- established CIELAB standard, i.e., it reduces to CIELAB for uniform color fields. We tested the ST-CIELAB metric by performing psychophysics experiments with MPEG video sequences to see how well ST-CIELAB ratings correlate with subjective ratings.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Tong, David J. Heeger, and Christian J. Van den Branden Lambrecht "Video quality evaluation using ST-CIELAB", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348439
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Cited by 26 scholarly publications.
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KEYWORDS
Video

Contrast sensitivity

Colorimetry

Optical filters

Visualization

Image quality standards

Psychophysics

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