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Elaborate Image Quality Assessment with a Novel Luminance Adaptation Effect Model
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  • Journal title : Journal of Broadcast Engineering
  • Volume 20, Issue 6,  2015, pp.818-826
  • Publisher : The Korean Institute of Broadcast and Media Engineers
  • DOI : 10.5909/JBE.2015.20.6.818
 Title & Authors
Elaborate Image Quality Assessment with a Novel Luminance Adaptation Effect Model
Bae, Sung-Ho; Kim, Munchurl;
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Recently, objective image quality assessment (IQA) methods that elaborately reflect the visual quality perception characteristics of human visual system (HVS) have actively been studied. Among those characteristics of HVS, luminance adaptation (LA) effect, indicating that HVS has different sensitivities depending on background luminance values to distortions, has widely been reflected into many existing IQA methods via Weber`s law model. In this paper, we firstly reveal that the LA effect based on Weber`s law model has inaccurately been reflected into the conventional IQA methods. To solve this problem, we firstly derive a new LA effect-based Local weight Function (LALF) that can elaborately reflect LA effect into IQA methods. We validate the effectiveness of our proposed LALF by applying LALF into SSIM (Structural SIMilarity) and PSNR methods. Experimental results show that the SSIM based on LALF yields remarkable performance improvement of 5% points compared to the original SSIM in terms of Spear rank order correlation coefficient between estimated visual quality values and measured subjective visual quality scores. Moreover, the PSNR (Peak to Signal Noise Ratio) based on LALF yields performance improvement of 2.5% points compared to the original PSNR.
Human visual system (HVS);luminance adaptation (LA);image quality assessment (IQA);power law;Weber`s law;
 Cited by
단순 라플라스 연산자를 사용한 새로운 고속 및 고성능 영상 화질 측정 척도,배성호;김문철;

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