1 January 2006 Objective video quality assessment
Author Affiliations +
Optical Engineering, 45(1), 017004 (2006). doi:10.1117/1.2160515
Abstract
We propose a new method for an objective measurement of video quality. By analyzing subjective scores of various video sequences, we find that the human visual system is particularly sensitive to degradation around edges. In other words, when edge areas of a video sequence are degraded, evaluators tend to give low quality scores to the video, even though the overall mean squared error is not large. Based on this observation, we propose an objective video quality measurement method based on degradation around edges. In the proposed method, we first apply an edge detection algorithm to videos and locate edge areas. Then, we measure degradation of those edge areas by computing mean squared errors and use it as a video quality metric after some postprocessing. Experiments show that the proposed method significantly outperforms the conventional peak signal-to-noise ratio (PSNR). This method was also independently evaluated by independent laboratory groups in the Video Quality Experts Group (VQEG) Phase 2 test. The method consistently provided good performances. As a result, the method was included in international recommendations for objective video quality measurement.
Chulhee Lee, Seungdeuk Cho, Jihwan Choe, Taeuk Jeong, Wonsuk Ahn, Eunjae Lee, "Objective video quality assessment," Optical Engineering 45(1), 017004 (1 January 2006). http://dx.doi.org/10.1117/1.2160515
JOURNAL ARTICLE
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KEYWORDS
Video

Video processing

Quality measurement

Image quality

Edge detection

Detection and tracking algorithms

Image processing

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