针对对比度变化的图像质量评价方法

由于对比度变化容易引入图像亮度和色彩等失真，本文提出了一种面向对比度变化的图像质量评价方法CCIQA。所提方法先将图像进行亮度和色度分离，再分别根据亮度强度变化和明暗对比度变化提取亮度失真因子和根据色度相似性提取色度失真因子，接着依照基于亮度强度的权重图进行融合并计算得到最终图像质量评价分数。所提CCIQA方法在4个常用的数据库，TID2008，TID2013，CID2013和CCID2014进行广泛测试。实验结果表明所提CCIQA算法符合人眼视觉对对比度变化的主观感知，且算法性能优于多个最新图像质量评价方法。 

Contrast-Changed Image Quality Assessment Method

Since contrast change is easy to make some distortions, such as illumination, color, etc., this paper proposes an image quality assessment method for measuring contrast change, called Contrast-change Image Quality Assessment (CCIQA). In the first stage, the proposed CCIQA method separates the images into two components, i.e., luminance and chrominance, Then, the corresponding luminance distortion factor is extracted by considering the intensity change and light-shade contrast change while the corresponding chrominance distortion factor is extracted based on the chrominance component similarity. Finally, an intensity weight map of the illumination component is exploited to guide the pooling process to obtain the final image quality score. The proposed CCIQA method is widely test on four commonly-used databases, TID2008, TID2013, CID2013 and CCID2014. Experimental results have shown that the proposed CCIQA method is able to achieve a high correlation with subjective prediction for contrast change, and outperforms multiple state-of-the-art image quality assessment methods.