Progressive Image Inpainting Based on Wavelet Transform

• CHEN Yen-Liang

  Department of Electrical Engineering, Tamkang University

• HSIEH Ching-Tang

  Department of Electrical Engineering, Tamkang University

• HSU Chih-Hsu

  Department of Information Engineering, Dahan Institute of Technology

抄録

Currently, the automatic image inpainting methods emphasize the inpainting techniques either globally or locally. They didn't consider the merits of global and local techniques to compensate each other. On the contrary, the artists fixed an image in global view firstly, and then focus on the local features of it, when they repaired it. This paper proposes a progressive processing of image inpainting method based on multi-resolution analysis. In damaged and defective area, we imitate the artistic techniques to approach the effectiveness of image inpainting in human vision. First, we use the multi-resolution characteristics of wavelet transform, from the lowest spatial-frequency layer to the higher one, to analyze the image from global-area to local-area progressively. Then, we utilize the variance of the energy of wavelet coefficients within each image block, to decide the priority of inpainting blocks. Finally, we extract the multi-resolution features of each block. We take account of the correlation among horizontal, vertical and diagonal directions, to determine the inpainting strategy for filling image pixels and approximate a high-quality image inpainting to human vision. In our experiments, the performance of the proposed method is superior to the existing methods.

収録刊行物

• IEICE transactions on fundamentals of electronics, communications and computer sciences

  IEICE transactions on fundamentals of electronics, communications and computer sciences 88 (10), 2826-2834, 2005-10-01

  一般社団法人電子情報通信学会

キーワード

• image inpainting
• wavelet transform
• multi-resolution
• imitate the artistic technique
• progressive processing

詳細情報

• CRID: 1571698602419065216
• NII論文ID: 110003213304
• NII書誌ID: AA10826239
• ISSN: 09168508
• 本文言語コード: en
• データソース種別:
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