Modeling the Color Image and Video Quality on Liquid Crystal Displays with Backlight Dimming

Jari Korhonen, Claire Mantel, Nino Burini, Søren Forchhammer

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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 languageEnglish
Title of host publicationProceedings of International Conference on Visual Communications and Image Processing (VCIP'13)
Number of pages6
PublisherIEEE
Publication date2013
ISBN (Print)978-1-4799-0288-0
DOIs
Publication statusPublished - 2013
EventInternational Conference on Visual Communications and Image Processing (VCIP 2013) - Kuching, Sarawak, Malaysia
Duration: 17 Nov 201320 Nov 2013
http://vcip2013.org/

Conference

ConferenceInternational Conference on Visual Communications and Image Processing (VCIP 2013)
Country/TerritoryMalaysia
CityKuching, Sarawak
Period17/11/201320/11/2013
Internet address

Keywords

  • Video quality assessment
  • Liquid crystal display
  • Local backlight dimming

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