Image inpainting algorithm based on regional segmentation and adaptive window exemplar

摘要：

This paper presents a novel and efficient algorithm for preventing the block wrongly matching in image inpainting. The proposed technique separates the inpainting process into two different and important steps. First, segment the preselected source area, which is called the source region, from the input image. This step can prevent the block wrongly matching effectively. Besides, the adjustment rule of adaptive window is utilized to determine the fixed window size, which could be adjusted according to the image itself, after that search a best-exemplar from pre-selected region to fill the image. This step can improve the quality of image inpainting. The experimental results show the high efficiency and quality of the algorithm.

关键词： image inpainting region segmentation adaptive window exemplar

作者: Liu Yang Tian Xiao-jian Wang Qing Shao Shang-xin Sun Xiao-lin

作者单位: College of Electronic Science and Engineering JLU Chang Chun,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 656-659

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）