A weighted matching image restoration algorithm based on modified priority
Zhu Xiao-lin · Journal of Hefei University of Technology · 2013
In this paper,a weighted matching image restoration algorithm based on the modified priority is given by improving the priority setting and the matching block selection in the Criminisi texture systhesis algorithm.Firstly,the influence of the image significant structure is taken into account in the priority of the new algorithm,which makes the modified priority more accurate.Secondly,the matching block in the new method is given a more reasonable weighted matching factor.Finally,the image is restored by the new method based on the image segmentation according to the image structure similar characteristics.The experimental results show that the algorithm introduced in the paper avoids the possible bias diffusion by the current image restoration algorithms,makes the restored image more consistent to human being's visual effects,and reduces greatly the time consumed.