Abstract:

According to the fact that the murals of Fahai Temple in Beijing are missing in blocks and the missing area is structure information, a structure-enhancing digital image restoration algorithm is proposed to solve the problem of insufficient consideration of image structure information in Criminisi algorithm. When calculating the priority function of the filling block, the curvature calculation of the linear convolution is integrated into the data item, and the weight of the structure information is increased to achieve the goal of repairing the structure information-rich region in priority; the regional covariance method is introduced in the similarity calculation of the search matching block to ensure the consistency of the repaired image structure and reduce the matching error rate. Experimental results show that the algorithm can solve the problem on mural with strong structure.

Key words: image inpainting, Crimanisi algorithm, priority function, curvature, region covariance