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. . 17\n1.4 Organization of the Thesis . . . . . . . . . . . . . . . . . . . . . . . 19\n\n2 Parametric Wiener Filter Based on Image Power Spectrum Sparsity 20\n2.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20\n2.2 Parametric Wiener Filter . . . . . . . . . . . . . . . . . . . . . . . . 22\n2.2.1 Wiener Filter . . . . . . . . . . . . . . . . . . . . . . . . . . 22\n2.2.2 Parametric Wiener Filter (PWF) . . . . . . . . . . . . . . 23\n2.2.3 Noise Variance Estimation . . . . . . . . . . . . . . . . . . . 25\n2.2.4 Best-Parameter Determination . . . . . . . . . . . . . . . . . 27\n2.3 Parameter Estimation . . . . . . . . . . . . . . . . . . . . . . . . . 28\n2.3.1 Power Spectrum Sparsity of an Image . . . . . . . . . . . . . 28\n2.4 Implementation of Parametric Wiener Filter . . . . . . . . . . . . . 37\n2.5 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . 38\n2.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57\n\n3 Noise Level Estimation on Weak-Texture Patch using Image Power Spectrum Sparsity 58\n3.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59\n3.2 Noise Level Estimation . . . . . . . . . . . . . . . . . . . . . . . . . 60\n3.2.1 Weak-Texture Image Patch . . . . . . . . . . . . . . . . . . 61\n3.2.2 Noise Level Estimation . . . . . . . . . . . . . . . . . . . . . 63\n3.3 Implementation of Proposed Method . . . . . . . . . . . . . . . . . 65\n3.4 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . 66\n3.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76\n\n4 Flexible Edge Component Detection by Image Power Spectrum Sparsity 77\n4.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78\n4.2 Proposed Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79\n4.2.1 Power Spectrum Sparsity . . . . . . . . . . . . . . . . . . . . 81\n4.2.2 Edge component Determination by 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Denoising Based on Image Power Spectrum Sparsity", "subitem_title_language": "en"}]}, "item_type_id": "113", "owner": "15", "path": ["955"], "permalink_uri": "https://doi.org/10.24561/00018885", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2020-03-02"}, "publish_date": "2020-03-02", "publish_status": "0", "recid": "18916", "relation": {}, "relation_version_is_last": true, "title": ["Image Denoising Based on Image Power Spectrum Sparsity"], "weko_shared_id": -1}
Image Denoising Based on Image Power Spectrum Sparsity
https://doi.org/10.24561/00018885
https://doi.org/10.24561/00018885eadde4d6-fdfb-4ccc-bdbc-b1bfe08ea039
名前 / ファイル | ライセンス | アクション |
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GD0001098.pdf (4.1 MB)
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||||||
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公開日 | 2020-03-02 | |||||||||
タイトル | ||||||||||
言語 | en | |||||||||
タイトル | Image Denoising Based on Image Power Spectrum Sparsity | |||||||||
言語 | ||||||||||
言語 | eng | |||||||||
資源タイプ | ||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||||
資源タイプ | doctoral thesis | |||||||||
ID登録 | ||||||||||
ID登録 | 10.24561/00018885 | |||||||||
ID登録タイプ | JaLC | |||||||||
アクセス権 | ||||||||||
アクセス権 | open access | |||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||
タイトル(別言語) | ||||||||||
その他のタイトル | 画像パワースペクトルスパース性に基づく画像処理技術 | |||||||||
著者 |
Naw, Jacklin Nyunt
× Naw, Jacklin Nyunt
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著者 所属 | ||||||||||
埼玉大学大学院理工学研究科(博士後期課程)理工学専攻 | ||||||||||
著者 所属(別言語) | ||||||||||
Graduate School of Science and Engineering, Saitama University | ||||||||||
書誌 | ||||||||||
収録物名 | 博士論文(埼玉大学大学院理工学研究科(博士後期課程)) | |||||||||
書誌情報 |
発行日 2019 |
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出版者名 | ||||||||||
出版者 | 埼玉大学大学院理工学研究科 | |||||||||
出版者名(別言語) | ||||||||||
出版者 | Graduate School of Science and Engineering, Saitama University | |||||||||
形態 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | 102 p. | |||||||||
学位授与番号 | ||||||||||
学位授与番号 | 甲第1127号 | |||||||||
学位授与年月日 | ||||||||||
学位授与年月日 | 2019-03-20 | |||||||||
学位名 | ||||||||||
学位名 | 博士(工学) | |||||||||
学位授与機関 | ||||||||||
学位授与機関識別子Scheme | kakenhi | |||||||||
学位授与機関識別子 | 12401 | |||||||||
学位授与機関名 | 埼玉大学 | |||||||||
目次 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1 Introduction 15 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.2 Problem Statements and Objectives . . . . . . . . . . . . . . . . . . 16 1.3 Overviews . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.4 Organization of the Thesis . . . . . . . . . . . . . . . . . . . . . . . 19 2 Parametric Wiener Filter Based on Image Power Spectrum Sparsity 20 2.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.2 Parametric Wiener Filter . . . . . . . . . . . . . . . . . . . . . . . . 22 2.2.1 Wiener Filter . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.2.2 Parametric Wiener Filter (PWF) . . . . . . . . . . . . . . 23 2.2.3 Noise Variance Estimation . . . . . . . . . . . . . . . . . . . 25 2.2.4 Best-Parameter Determination . . . . . . . . . . . . . . . . . 27 2.3 Parameter Estimation . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.3.1 Power Spectrum Sparsity of an Image . . . . . . . . . . . . . 28 2.4 Implementation of Parametric Wiener Filter . . . . . . . . . . . . . 37 2.5 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . 38 2.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 3 Noise Level Estimation on Weak-Texture Patch using Image Power Spectrum Sparsity 58 3.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 3.2 Noise Level Estimation . . . . . . . . . . . . . . . . . . . . . . . . . 60 3.2.1 Weak-Texture Image Patch . . . . . . . . . . . . . . . . . . 61 3.2.2 Noise Level Estimation . . . . . . . . . . . . . . . . . . . . . 63 3.3 Implementation of Proposed Method . . . . . . . . . . . . . . . . . 65 3.4 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . 66 3.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 4 Flexible Edge Component Detection by Image Power Spectrum Sparsity 77 4.1 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.2 Proposed Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 4.2.1 Power Spectrum Sparsity . . . . . . . . . . . . . . . . . . . . 81 4.2.2 Edge component Determination by Thresholding . . . . . . 82 4.2.3 Diagram of Proposed Method . . . . . . . . . . . . . . . . . 84 4.3 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . 85 4.4 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 5 Conclusion and Future Work 92 5.1 Summary of the Research . . . . . . . . . . . . . . . . . . . . . . . 92 5.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 |
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注記 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | 指導教員 : 島村徹也 | |||||||||
版 | ||||||||||
[出版社版] | ||||||||||
著者版フラグ | ||||||||||
出版タイプ | VoR | |||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
資源タイプ | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | text | |||||||||
フォーマット | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | application/pdf | |||||||||
作成日 | ||||||||||
日付 | 2020-03-02 | |||||||||
日付タイプ | Created | |||||||||
アイテムID | ||||||||||
GD0001098 |