基于S-CIELAB和iCAM模型的图像颜色质量评价方法的实验研究

Experimental Research of Evaluating Methods of Image Quality Based on Models of S-CIELAB and iCAM

S-CIELAB模型和iCAM模型都通过计算失真图像与原图像之间的色差对图像质量进行评价。S-CIELAB模型的空间滤波补偿了人眼视觉系统的空间混合效果。iCAM模型除了考虑空间混合效果之外,还考虑了色适应等色貌现象对图像质量评价的影响。基于视觉评价实验,选择了3幅颜色内容对比比较鲜明的图像,研究了两种模型对图像质量评价结果的有效性及准确性。研究表明,iCAM模型色差计算结果比S-CIELAB模型更符合人眼视觉实验结果。

S-CIELAB model and iCAM model are used for estimating the image quality by calculating the color difference between the original image and the distorted image.When the models is used to evaluate the image difference,the S-CIELAB model compensates for the effect of spatial scale of the human visual system.iCAM model,in addition to considering the spatial scale dependency,takes into account the effect of chromatic adaptation on colour appearance.The effectiveness and accuracy of these two kinds of models are investigated based on visual perception experiments using three images with sharp colour contrasts.The study shows that the predictions of iCAM model are more consistent with human visual performance than those of S-CIELAB model.