局部特征信息约束的改进Criminisi算法  

Improved Criminisi algorithm constrained by local feature

作　　者：张申华[1] 王克刚[1] 祝轩[2] 

机构地区：[1]安康学院电子信息工程系,陕西安康725000 [2]西北大学信息科学与技术学院,西安710127

出　　处：《计算机工程与应用》2014年第8期127-130,共4页Computer Engineering and Applications

基　　金：陕西省教育厅专项科研计划项目(No.2013JK1199);安康学院高层次人才项目(No.AYQDZR201201)

摘　　要：针对Criminisi算法计算目标块填充优先权等级时存在缺陷的问题,提出了一种改进的修复算法,方法在确立新的优先等级函数时,充分考虑图像的局部特征信息——曲率和梯度,将曲率及梯度信息作为优先权值的数据项,从而获得更加可靠的填充修复顺序。实验结果表明,和Criminisi算法相比,该方法克服了修复过程中高纹理区域向低纹理区域过度扩散的问题,并取得了更加理想的视觉修复效果。When computing the order of target patch priority, Criminisi algorithm has defect, to solve this problem, an improved inpainting algorithm is proposed. To establish a new function about priority, the proposed algorithm takes into account local feature of image-curvature and gradient, and uses the information of curvature and gradient as a data item. Thus, the order of filling inpainting is more reliably. The experimental results show that the proposed algorithm over-comes the problem of excessive diffusion from high texture area to low area, and obtains better visual appearance.

关 键 词：图像修复 优先权 局部特征 曲率 梯度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]