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Inpainting via Sparse Representation Based on a Phaseless Quality Metric
Title: | Inpainting via Sparse Representation Based on a Phaseless Quality Metric |
Authors: | Ogawa, Takahiro Browse this author →KAKEN DB | Maeda, Keisuke Browse this author | Haseyama, Miki Browse this author →KAKEN DB |
Keywords: | inpainting | phase retrieval | phaseless quality metric | phaseless features |
Issue Date: | Dec-2020 |
Publisher: | 電子情報通信学会(The Institute of Electronics, Information and Communication Engineers / IEICE) |
Journal Title: | IEICE transactions on fundamentals of electronics communications and computer sciences |
Volume: | E103A |
Issue: | 12 |
Start Page: | 1541 |
End Page: | 1551 |
Publisher DOI: | 10.1587/transfun.2020SMP0020 |
Abstract: | An inpainting method via sparse representation based on a new phaseless quality metric is presented in this paper. Since power spectra, phaseless features, of local regions within images enable more successful representation of their texture characteristics compared to their pixel values, a new quality metric based on these phaseless features is newly derived for image representation. Specifically, the proposed method enables spare representation of target signals, i.e., target patches, including missing intensities by monitoring errors converged by phase retrieval as the novel phaseless quality metric. This is the main contribution of our study. In this approach, the phase retrieval algorithm used in our method has the following two important roles: (1) derivation of the new quality metric that can be derived even for images including missing intensities and (2) conversion of phaseless features, i.e., power spectra, to pixel values, i.e., intensities. Therefore, the above novel approach solves the existing problem of not being able to use better features or better quality metrics for inpainting. Results of experiments showed that the proposed method using sparse representation based on the new phaseless quality metric outperforms previously reported methods that directly use pixel values for inpainting. |
Rights: | copyright©2020 IEICE |
Type: | article |
URI: | http://hdl.handle.net/2115/80303 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小川 貴弘
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