Signal Processing: Image Communication, special issue on “Objective Video Quality Metrics”, vol. 19, no. 2, pp. 121-132, Feb. 2004


Video Quality Assessment Based on Structural Distortion Measurement

Zhou Wang1, Ligang Lu2, and Alan C. Bovik3

1Laboratory for Computational Vision (LCV), New York University, New York, NY 10003

2Multimedia Technologies, IBM T. J. Watson Research Center, Yorktown Heights, NY 10598

3Laboratory for Image and Video Engineering (LIVE), The University of Texas at Austin, Austin, TX 78712

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Abstract: Objective image/video quality measures play important roles in various image/video processing applications, such as compression, communication, printing, analysis, registration, restoration, enhancement and watermarking. Most proposed quality assessment approaches in the literature are error sensitivity based methods. In this paper, we follow a new philosophy in designing image/video quality metrics, which uses structural distortion as an estimate of perceived visual distortion. A computationally efficient approach is developed for full-reference (FR) video quality assessment. The algorithm is tested on the video quality experts group (VQEG) Phase I FR-TV test data set.

Index Terms – image quality assessment, video quality assessment, human visual system, error sensitivity, structural distortion, video quality experts group (VQEG)