Image Inpainting Method based on Evolutionary Algorithm
Zhaoxia Wang, Quan Wang, C. S. Chang, Ming bai -, Zhen Sun, Ting Yang · International Journal of Digital Content Technology and its Applications · 2011
This paper proposes an image inpainting method based on evolutionary algorithm. The main idea of the proposed method is to restore the structure information and texture information separately. The structure information is extracted from the damaged image which is presented by several contour lines. An optimizing method based on evolutionary algorithm is proposed to analyze the structure information to find out the related structural information and calculate the related contour lines that should be connected to each other. The optimizing results as obtained by evolutionary algorithm combined with the curve fitting method gives the best matching solution to restore the damaged structure information. The restored structure information divides the damaged image into several parts. The final inpainted image as obtained after the lost texture information in every part is inpainted. The efficiency of the proposed method is demonstrated by case studies in this paper.