Design and performance of a digital video quality metric

Andrew B. Watson; Quingmin J. Hu; John F. McGowan III; Jeffrey B. Mulligan

doi:10.1117/12.348437

19 May 1999 Design and performance of a digital video quality metric

Andrew B. Watson, Quingmin J. Hu, John F. McGowan III, Jeffrey B. Mulligan

Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348437
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

The growth of digital video has given rise to a need for computational methods for evaluating the visual quality of digital video. We have developed a new digital video quality metric, which we call DVQ. Here we provide a brief description of the metric, and give a preliminary report on its performance. DVQ accepts a pair of digital video sequences, and computes a measure of the magnitude of the visible difference between them. The metric is based on the Discrete Cosine Transform. It incorporates aspects of early visual processing, including light adaptation, luminance and chromatic channels, spatial and temporal filtering, spatial frequency channels, contrast masking, and probability summation. It also includes primitive dynamics of light adaptation and contrast masking. We have applied the metric to digital video sequences corrupted by various typical compression artifacts, and compared the results to quality ratings made by human observers.

Citation Download Citation

Andrew B. Watson, Quingmin J. Hu, John F. McGowan III, and Jeffrey B. Mulligan "Design and performance of a digital video quality metric", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348437

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