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
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)