Abstract
Objective image and video quality metrics focus mostly on the digital representation of the signal. However, the display characteristics are also essential for the overall Quality of Experience (QoE). In this paper, we use a model of a backlight dimming system for Liquid Crystal Display (LCD) and show how the modeled image can be used as an input to quality assessment algorithms. For quality assessment, we propose an image quality metric, based on Peak Signal-to-Noise Ratio (PSNR) computation in the CIE L*a*b* color space. The metric takes luminance reduction, color distortion and loss of uniformity in the resulting image in consideration. Subjective evaluations of images generated using different backlight dimming algorithms and clipping strategies show that the proposed metric estimates the perceived image quality more accurately than conventional PSNR.
| Original language | English |
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| Title of host publication | Proceedings of International Conference on Visual Communications and Image Processing (VCIP'13) |
| Number of pages | 6 |
| Publisher | IEEE |
| Publication date | 2013 |
| ISBN (Print) | 978-1-4799-0288-0 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | International Conference on Visual Communications and Image Processing (VCIP 2013) - Kuching, Sarawak, Malaysia Duration: 17 Nov 2013 → 20 Nov 2013 http://vcip2013.org/ |
Conference
| Conference | International Conference on Visual Communications and Image Processing (VCIP 2013) |
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| Country/Territory | Malaysia |
| City | Kuching, Sarawak |
| Period | 17/11/2013 → 20/11/2013 |
| Internet address |
Keywords
- Video quality assessment
- Liquid crystal display
- Local backlight dimming