A new approach of image inpainting based on PSO algorithm

In this paper, an efficient approach is developed to incorporate the exemplar-based image of inpainting method and the minimum error boundary of cut technique, that is proposed to improve the image inpainting in a more nature quality with high performance. The approach is based on the particle swarm optimization. Several advantages are addressed as follow. First, the image inpainting in texture with the linear structure is exploited to reasonably inpaint the damaged image in a high priority. Due to set the first priority to inpaint in the linear structure, such a method guarantees the integrality of the linear structure. In addition, the minimum error boundary of cut technique can effectively decrease the unnatural phenomena through inpainting the gap of damaged image. Owing to the damaged one will be dawdling extraordinarily if searching the similar block while inpainting. In this case, the method is proposed by joined the particle swarm optimization algorithm, and the outcome indeed improves the efficiency of image inpainting.

[1]  Russell C. Eberhart,et al.  Tracking and optimizing dynamic systems with particle swarms , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[2]  Patrick Pérez,et al.  Region filling and object removal by exemplar-based image inpainting , 2004, IEEE Transactions on Image Processing.

[3]  Y. Meng,et al.  PARTICLE SWARM OPTIMIZATION METHOD USED IN PIXEL-BASED TEXTURE SYNTHESIS , 2006 .

[4]  Alexei A. Efros,et al.  Image quilting for texture synthesis and transfer , 2001, SIGGRAPH.

[5]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

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

[7]  Alexandru Telea,et al.  An Image Inpainting Technique Based on the Fast Marching Method , 2004, J. Graphics, GPU, & Game Tools.

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

[9]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.