Multilayer image inpainting approach based on neural networks

• Main Authors: WANG, Quan, WANG, Zhaoxia, CHANG, Che Sau, YANG, Ting
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Image inpainting; Layer separation; Neural networks; SOM; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5554; https://ink.library.smu.edu.sg/context/sis_research/article/6557/viewcontent/Multilayer_image_inpainting_av.pdf
• Institution: Singapore Management University

This paper describes an image inpainting approach based on the self-organizing map for dividing an image into several layers, assigning each damaged pixel to one layer, and then restoring these damaged pixels by the information of their respective layer. These inpainted layers are then fused together to provide the final inpainting results. This approach takes advantage of the neural network's ability of imitating human's brain to separate objects of an image into different layers for inpainting. The approach is promising as clearly demonstrated by the results in this paper.