Tao Dacheng, Li Xuelong, Lu Wen, Gao Xinbo
School of Computer Engineering, Nanyang Technological University, Singapore.
IEEE Trans Syst Man Cybern B Cybern. 2009 Dec;39(6):1623-7. doi: 10.1109/TSMCB.2009.2021951. Epub 2009 May 19.
The human visual system (HVS) provides a suitable cue for image quality assessment (IQA). In this paper, we develop a novel reduced-reference (RR) IQA scheme by incorporating the merits from the contourlet transform, contrast sensitivity function (CSF), and Weber's law of just noticeable difference (JND). In this scheme, the contourlet transform is utilized to decompose images and then extract features to mimic the multichannel structure of HVS. CSF is applied to weight coefficients obtained by the contourlet transform to simulate the appearance of images to observers by taking into account many of the nonlinearities inherent in HVS. JND is finally introduced to produce a noticeable variation in sensory experience. Thorough empirical studies are carried out upon the Laboratory for Image and Video Engineering database against the subjective mean opinion score and demonstrate that the proposed framework has good consistency with subjective perception values and the objective assessment results can well reflect the visual quality of images.
人类视觉系统（HVS）为图像质量评估（IQA）提供了合适的线索。在本文中，我们通过结合轮廓波变换、对比度敏感函数（CSF）和韦伯刚可察觉差异定律（JND）的优点，开发了一种新颖的缩减参考（RR）IQA方案。在该方案中，轮廓波变换用于分解图像，然后提取特征以模仿HVS的多通道结构。CSF应用于轮廓波变换获得的权重系数，通过考虑HVS中固有的许多非线性来模拟图像在观察者眼中的外观。最后引入JND以产生感官体验上的明显变化。针对图像与视频工程实验室数据库，对照主观平均意见得分进行了全面的实证研究，结果表明所提出的框架与主观感知值具有良好的一致性，并且客观评估结果能够很好地反映图像的视觉质量。
