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Proceedings Paper

HVS-based image quality assessment for digital cinema
Author(s): Junyong You; Fitri N. Rahayu; Ulrich Reiter; Andrew Perkis
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Paper Abstract

This paper proposes an approach to improve the performance of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) for image quality assessment in digital cinema applications. Based on the particularities of quality assessment in a digital cinema setup, some attributes of the human visual system (HVS) are taken into consideration, including the fovea acuity angle and contrast sensitivity, combined with viewing conditions in the cinema to select appropriate image blocks for calculating the perceived quality by PSNR and SSIM. Furthermore, as the HVS is not able to perceive all the distortions because of selective sensitivities to different contrasts, and masking always exists, we adopt a modified PSNR by considering the contrast sensitivity function and masking effects. The experimental results demonstrate that the proposed approach can evidently improve the performance of image quality metrics in digital cinema applications.

Paper Details

Date Published: 18 January 2010
PDF: 10 pages
Proc. SPIE 7529, Image Quality and System Performance VII, 75290S (18 January 2010); doi: 10.1117/12.838696
Show Author Affiliations
Junyong You, Norwegian Univ. of Science and Technology (Norway)
Fitri N. Rahayu, Norwegian Univ. of Science and Technology (Norway)
Ulrich Reiter, Norwegian Univ. of Science and Technology (Norway)
Andrew Perkis, Norwegian Univ. of Science and Technology (Norway)


Published in SPIE Proceedings Vol. 7529:
Image Quality and System Performance VII
Susan P. Farnand; Frans Gaykema, Editor(s)

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