Color-Enriched Gradient Similarity for Retouched Image Quality Evaluation

被引:4
作者
Li, Leida [1 ]
Zhou, Yu [1 ]
Wu, Jinjian [2 ]
Qian, Jiansheng [1 ]
Chen, Beijing [3 ]
机构
[1] China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221116, Peoples R China
[2] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China
关键词
image quality assessment; image retouching; gradient similarity; color colorfulness; saturation; INDEX;
D O I
10.1587/transinf.2015EDL8204
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Image retouching is fundamental in photography, which is widely used to improve the perceptual quality of a low-quality image. Traditional image quality metrics are designed for degraded images, so they are limited in evaluating the quality of retouched images. This letter presents a RETouched Image QUality Evaluation (RETIQUE) algorithm by measuring structure and color changes between the original and retouched images. Structure changes are measured by gradient similarity. Color colorfulness and saturation are utilized to measure color changes. The overall quality score of a retouched image is computed as the linear combination of gradient similarity and color similarity. The performance of RETIQUE is evaluated on a public Digitally Retouched Image Quality (DRIQ) database. Experimental results demonstrate that the proposed metric outperforms the state-of-the-arts.
引用
收藏
页码:773 / 776
页数:4
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