Efficient naturalness restoration for non-uniform illumination images

被引:33
作者
Shin, Yonghun [1 ]
Jeong, Soowoong [1 ]
Lee, Sangkeun [1 ]
机构
[1] Chung Ang Univ, Dept Imaging Engn, Seoul 156756, South Korea
基金
新加坡国家研究基金会;
关键词
HISTOGRAM EQUALIZATION; ENHANCEMENT; RETINEX; FRAMEWORK;
D O I
10.1049/iet-ipr.2014.0437
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study presents a novel image-naturalness restoration for the purpose of achieving better image quality with respect to the human visual system. Specifically, the authors suppress the artefacts around edges using image gradient components. They also appropriately enhance the image brightness using an adaptive gamma correction. In particular, they simply create a mapping curve to adjust the contrast, and then perform contrast enhancement. Experimental results demonstrate that the proposed algorithm outperforms other state-of-the-art algorithms in terms of subjective and objective quality measures, and even computational speed. Therefore they believe that the proposed approach can be a useful tool to improve the visual quality of images under non-uniform illumination.
引用
收藏
页码:662 / 671
页数:10
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