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

Article type: Research Article

Authors: Wu, Jiying | Ruan, Qiuqi | An, Gaoyun

Affiliations: Institute of Information Science, Beijing Jiaotong University, e-mail: happywjy82@126.com, qqruan@center.njtu.edu.cn, gaoyun_an@126.com

Abstract: 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.

Keywords: image inpainting, illumination compensation, partial differential equation (PDE), quotient image (QI)

Journal: Informatica, vol. 20, no. 1, pp. 151-163, 2009