Vector Image Inpainting Based on Total Variation Model

Based on the total variation methods of gray-scale image inpainting,this paper presents four steps to achieve a color image inpainting:It labels the images to be inpainted,obtains the mask image by labeled pixels,expands the mask image,inpaints the images with the expanding information.Experimental results on related images show that the inpainting result is very well,color image with noise can get good denoised result and keep clear border.

[1]  Jürgen Teich,et al.  System-Level Synthesis Using Evolutionary Algorithms , 1998, Des. Autom. Embed. Syst..

[2]  Ralf Niemann.  Hardware, software co-design for data flow dominated embedded systems , 1998 .

[3]  Tony F. Chan,et al.  Mathematical Models for Local Nontexture Inpaintings , 2002, SIAM J. Appl. Math..

[4]  Guillermo Sapiro,et al.  Navier-stokes, fluid dynamics, and image and video inpainting , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[5]  Lothar Thiele,et al.  Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..

[6]  Lalit M. Patnaik,et al.  Adaptive probabilities of crossover and mutation in genetic algorithms , 1994, IEEE Trans. Syst. Man Cybern..

[7]  Guido Gerig,et al.  Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.