Research of image inpainting algorithm based on image segmentation

Image inpainting is an effective method to repair damaged image. In this paper, we mainly studied some typical image inpainting models and analyzed these corresponding repair qualities. Firstly, we studied three typical algorithms based on PDE (Partial Differential Equation) model to repair images whose damaged areas are relative small. And then we studied the image inpainting algorithm based on texture synthesis. This kind of inpainting algorithm is suitable for image with large damaged area. Finally, we studied Criminisi inpainting algorithm based on image segmentation in detail, on which we proposed an improved priority formula image repair algorithm, the simulation results indicate that the improved algorithm of this paper showed better performance in repair quality from both subjective and objective aspects.

[1]  Li Aij Image inpainting based on improved Criminisi algorithm , 2014 .

[2]  David Tschumperlé,et al.  Exemplar-Based Inpainting: Technical Review and New Heuristics for Better Geometric Reconstructions , 2015, IEEE Transactions on Image Processing.

[3]  Yan Chun-man Image inpainting algorithm based on the weighted fractal under the structure-measurement constraint , 2012 .

[4]  Wenjuan Ma,et al.  An effective method for removing large object , 2011, 2011 4th International Congress on Image and Signal Processing.

[5]  Guillermo Sapiro,et al.  Filling-in by joint interpolation of vector fields and gray levels , 2001, IEEE Trans. Image Process..

[6]  L. Álvarez,et al.  Signal and image restoration using shock filters and anisotropic diffusion , 1994 .

[7]  Tony F. Chan,et al.  Nontexture Inpainting by Curvature-Driven Diffusions , 2001, J. Vis. Commun. Image Represent..

[8]  Guillermo Sapiro,et al.  Simultaneous structure and texture image inpainting , 2003, IEEE Trans. Image Process..

[9]  Hazem M. Abbas,et al.  Image inpainting based on image segmentation and segment classification , 2013, 2013 IEEE International Conference on Control System, Computing and Engineering.

[10]  Guillermo Sapiro,et al.  Image inpainting , 2000, SIGGRAPH.

[11]  Rajkumar L. Biradar,et al.  A novel image inpainting technique based on median diffusion , 2013, Sadhana.

[12]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

[13]  Christine Guillemot,et al.  Video Inpainting With Short-Term Windows: Application to Object Removal and Error Concealment , 2015, IEEE Transactions on Image Processing.

[14]  Patrick Pérez,et al.  Object removal by exemplar-based inpainting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[15]  Zhiwei Xiong,et al.  Block-Based Image Compression With Parameter-Assistant Inpainting , 2010, IEEE Transactions on Image Processing.

[16]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[17]  Tony F. Chan,et al.  Non-texture inpainting by curvature-driven diffusions (CDD) , 2001 .