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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2018 Vol.8(5): 477-482 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.5.732

Image Inpainting Based on Related Dictionary Constructed by Histogram

Qiaoqiao Li, Guoyue Chen, Xingguo Zhang, Kazuki Saruta, and Yuki Terata
Abstract—This paper proposed a new patch-wise image inpainting algorithm based on sparse representation with related dictionaries. For each target patch, i.e., the patch with corrupted parts, a related dictionary is defined, which consists of the patches in the uncorrupted area having a similar histogram with that of the patch. The related dictionary contains the most similar patches for target patch. That ensure the accuracy of the inpainting process. The target patch then can be inpainted by a sparse representation of the patches in the related dictionary. Experimental results are given to show the effectiveness of the proposed algorithm.

Index Terms—Image inpainting, sparse representation, histogram, related dictionaries.

Qiaoqiao Li is with the Graduate School of Systems Science and Technology, Akita Prefectural University, Akita, 015-0055, Japan (e-mail: D18S005@akita-pu.ac.jp).
Guoyue Chen, Xingguo Zhang, Kazuki Saruta, and Yuki Terata are with the Dept. of Electronics and Information Systems, Akita Prefectural University, Akita, 015-0055, Japan (e-mail: chen@akita-pu.ac.jp, xingguozhang@akita-pu.ac.jp, saruta@akita-pu.ac.jp, tarata@akita-pu.ac.jp).

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Cite: Qiaoqiao Li, Guoyue Chen, Xingguo Zhang, Kazuki Saruta, and Yuki Terata, "Image Inpainting Based on Related Dictionary Constructed by Histogram," International Journal of Machine Learning and Computing vol. 8, no. 5, pp. 477-482, 2018.

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