Joint Matting and Gradient-Domain Deringing for Image Deblurring

摘要：

In this paper, we propose a method for removing motion blur and deringing from images, which can be applied to handle both the camera motion blur and the object motion blur. Fully taking the advantage of abundant information of blurred/noisy image pair, we can extract the alpha mattes of same objects in both burred image and noisy image, and then estimate the blur kernel of blurred image using the mattes. In addition, gradient domain smoothness is joined to deconvolution stage to inhibit the ringing artifacts. The experiments demonstrate that, method proposed in this paper is effective and can achieve fair restoration effect

关键词： motion deblurring deringing matting blind deconvolution PSF estimation

作者: Chunjian Ren Xiaoqiang Liu Le Zhang Yaping Huang

作者单位: School of Computer Science&Technology Donghua University Shanghai,China Center for Advanced Information Technology The University of Tokushima Tokushima,Japan School of CST Donghua University Shanghai, China

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 103-108

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）