A Joint-Diffused Inpainting Model for Underexposure Image Preserving the Linear Geometric Structure

被引:0
|
作者
Wu, Jiying [1 ]
Ruan, Qiuqi [1 ]
An, Gaoyun [1 ]
机构
[1] Beijing Jiaotong Univ, Inst Informat Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
image inpainting; illumination compensation; partial differential equation (PDE); quotient image (QI);
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To restore the underexposure image, an illumination compensation inpainting model which employs the joint-diffused partial differential equations(PDEs) is proposed. Firstly, the novel model compensates the illumination effect in multi-scaled underexposure images respectively. Secondly, the information in the fused compensated image is restored by PDEs which diffuse the geometric property and gray information into the target region simultaneously. Experimental results demonstrate that the novel model can properly restore scratches while compensating the illumination effect in underexposure image, and the joint-diffused PDEs which are employed in it lead to a better performance than the conventional PDE inpainting models.
引用
收藏
页码:151 / 163
页数:13
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