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| ■論文No. |
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| ■ページ数 |
10ページ |
■発行日
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2019/12/01 |
| ■タイトル |
Noise Bias Compensation for Reconstructed HDR Images in Two Layer Coding |
| ■タイトル(英語) |
Noise Bias Compensation for Reconstructed HDR Images in Two Layer Coding |
| ■著者名 |
Sayaka Minewaki (Department of Computer Science and Engineering, National Institute of Technology, Yuge College), Fairoza Amira Binti Hamzah (The Kyoto College of Graduate Studies for Informatics), Taichi Yoshida (Department of Computer and Network Engine |
| ■著者名(英語) |
Sayaka Minewaki (Department of Computer Science and Engineering, National Institute of Technology, Yuge College), Fairoza Amira Binti Hamzah (The Kyoto College of Graduate Studies for Informatics), Taichi Yoshida (Department of Computer and Network Engineering, The University of Electro-Communications), Masahiro Iwahashi (Department of Electrical, Electronics and Information Engineering, Nagaoka University of Technology), Hitoshi Kiya (Department of Information and Communication Systems, Faculty of System Design, Tokyo Metropolitan University) |
| ■価格 |
会員 ¥550 一般 ¥770 |
| ■書籍種類 |
論文誌(論文単位) |
| ■グループ名 |
【C】電子・情報・システム部門 |
| ■本誌 |
電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.12 （2019） 特集：電気・電子・情報関係学会東海支部連合大会
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| ■本誌掲載ページ |
1442-1451ページ |
| ■原稿種別 |
論文／英語 |
| ■電子版へのリンク |
https://www.jstage.jst.go.jp/article/ieejeiss/139/12/139_1442/_article/-char/ja/
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| ■キーワード |
image denoising，HDR image，two-layer coding，tone mapping，bit depth |
| ■要約(日本語) |
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| ■要約(英語) |
We propose a two-layer coding method for HDR images with noise bias compensation (NBC). Although the mean of image noise is assumed to be zero originally, it becomes nonzero (that is, noise bias is present) after tone mapping, because of the nonlinearity of tone mapping. In the conventional two-layer coding, the reconstructed LDR image is decoded using a lossy encoder of a base layer that includes noise; the noise is included in an HDR image that is inverse tone mapped from a reconstructed LDR image with noise bias. We aim to improve the quality of reconstructed HDR images by compensating for noise bias. NBC classifies pixels in a noisy image into several subsets according to the pixel value after tone mapping, and compensates for the pixel value in each subset with a compensation value determined in advance. The compensation values are determined by using all pixel values in the LDR image that is input to the base layer, in addition to those in the HDR image that is inversely tone mapped from the reconstructed LDR image. We perform NBC following inverse tone mapping for the reconstructed LDR image. Experimental results show the effectiveness of the proposed method. |
| ■版 型 |
A4 |
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