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《Journal of Graphics》 2017-04
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Image Inpainting Algorithm Based on Adaptive High Order Variation in Eight Neighbors

XU Liming;WU Yajuan;ZHANG Bo;Department of Computer, China West Normal University;  
To solve the problems of traditional variation inpainting algorithms, like insufficient information utilization, destroyed texture and strong artificial interference, an adaptive high order variational image inpanting algorithm based on eight neighbors is presented. Firstly, it makes full use of eight neighbors at the points to be repaired in damaged images and divides them into two groups of four-neighbor, then repairs images by nonlinear anisotropic diffusion in each four-neighbor respectively. The optimal value of parameter p in every four-neighbor will be determined by adaptive method. Then those points will be discreted through the central difference method. Finally, the Gauss-Jacobi Iteration of the damaged images can be obtained by using weighting and averaging. Compared with the image inpainting algorithms in recent years, the simulation results show that, the images obtained by the proposed algorithm have good evaluations. Not only is the repair time reasonable, but the texture structure is closest to the original images and values of PSNR or SA are the highest.
【Key Words】: neighbors adaptive high order variation central differencing image evaluation
【Fund】: 国家自然科学基金项目(61071162);; 四川省教育厅一般项目(14ZB0141);; 西华师范大学科研启动项目(11B026)
【CateGory Index】: TP391.41
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