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

作　　者：武海丽[1] 黄庆梅[1] 苑馨方[1] 李瑞玲[1] 

机构地区：[1]北京理工大学光电学院颜色科学与工程国家专业实验室,北京100081

出　　处：《光学学报》2010年第12期3447-3453,共7页Acta Optica Sinica

基　　金：国家自然科学基金(60678052)资助课题

摘　　要：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.

关 键 词：图像处理 视觉与色彩 图像质量评价 S-CIELAB模型 iCAM模型 对比敏感度函数滤波器 

分 类 号：O432.3[机械工程—光学工程] TN924.1[理学—光学]