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題名 線性動態模糊影像之研究
A study of linear motion blurred image作者 吳諭忠
Wu, Yu Chung貢獻者 薛慧敏
Hsueh, Hui Ming
吳諭忠
Wu, Yu Chung關鍵詞 線性動態模糊
影像還原
點擴散函數
旋積
傅立葉轉換
雷登轉換
Linear Motion Blur
Image Restoration
Point Spread Function
Convolution
Fourier Transform
Radon Transform日期 2016 上傳時間 2-Aug-2016 15:54:10 (UTC+8) 摘要 生活中在使用相機時，由於機器晃動或物體移動所造成的模糊影像時常可見。當影像模糊的成因是影像曝光時間內相機與拍攝物體相對線性移動時，則我們稱為線性動態模糊。理論上，模糊影像可以表示成原始影像與點擴散函數的旋積，本文的研究重點為點擴散函數中模糊參數的估計，雷登轉換將被運用在此問題上。我們首先介紹兩個現有方法，我們將探討這些方法中用來消除雜訊的步驟之適用性及必要性。另一方面，在模糊參數的估計過程中，我們在雷登轉換加入圓限制以及採用移動平均法。我們透過實驗證實，本篇提出的方法可以獲得更準確的估計結果以及更好的模糊影像還原效果。
Nowadays, collecting a digital image becomes convenient and low-cost due to rapid progress in digital camera technology. Blurred images frequently appear because of camera shake or moving objects. There are several different types of blur. When the blur is caused by the linear motion between the object and the camera during the light exposure, it’s called a linear motion blur. Mathematically, a blurred image is expressed as a convolution of a point spread function and the original image. Our study considers Radon transform for the estimation of the point spread function. To improve the existing methods, a circle restriction and the moving average method are applied in the estimating procedure. Through intensive experiments, the proposed method is found enable to produce more accurate estimation and better performance in image restoration.參考文獻 Bracewell, R. N.(2000) The Fourier Transform and Its Applications (3rd ed.), Boston: McGraw-Hill, ISBN 0-07-116043-4.Dobes ̆, M. , Machala, L. and Fu ̈rst, T. (2010) Blurred Image Restoration: A Fast Method Of Finding The Motion Length And Angle, Digital Signal Processing, vol. 20, no. 6, pp. 1677-1686.Dutta,A. , Dhar,A. and Nandy, k. (2010) Image Deconvolution By Richardson Lucy Algorithm, Indina Statistical Institute, November 2010.Fiche,C. , Ladret,P. and Vu, N.-S. (2010) Blurred Face Recognition Algorithm Guided By A No-reference Blur Metric. Proceedings of SPIE, The International Society for Optical Engineering, 7538.Lagendijk,R. L.and Biemond,J. (1999) Basic Methods For Image Restoration And Identifcation, International Conference on Image and Graphics.Lokhande,R. , Arya,K. V. and Gupta,p. (2006) Identification Of Blur Parameters and Restoration Of Motion Blurred Images, in Proc. ACM Symposium on Applied Computing, pp. 301-305.Nguyen, D. T., Cho, S. R., Pham, T. D. and Park, K. R. (2015) Human Age Estimation Method Robust To Camera Sensor And/or Face Movement, Sensors 2015, 15, 21898-21930.Richardson, W. H. (1972) Bayesian-Based Iterative Method Of Image Restoration JOSA 62.1,pp. 55-59.Tiwari, S. , Shukla, V. P. and Singh, A. K. (2013) Review Of Motion Blur Estimation Techniques, Journal of Image and Graphics vol. 1, No.4 描述 碩士
國立政治大學
統計學系
103354026資料來源 http://thesis.lib.nccu.edu.tw/record/#G0103354026 資料類型 thesis dc.contributor.advisor 薛慧敏 zh_TW dc.contributor.advisor Hsueh, Hui Ming en_US dc.contributor.author (Authors) 吳諭忠 zh_TW dc.contributor.author (Authors) Wu, Yu Chung en_US dc.creator (作者) 吳諭忠 zh_TW dc.creator (作者) Wu, Yu Chung en_US dc.date (日期) 2016 en_US dc.date.accessioned 2-Aug-2016 15:54:10 (UTC+8) - dc.date.available 2-Aug-2016 15:54:10 (UTC+8) - dc.date.issued (上傳時間) 2-Aug-2016 15:54:10 (UTC+8) - dc.identifier (Other Identifiers) G0103354026 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/99534 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 統計學系 zh_TW dc.description (描述) 103354026 zh_TW dc.description.abstract (摘要) 生活中在使用相機時，由於機器晃動或物體移動所造成的模糊影像時常可見。當影像模糊的成因是影像曝光時間內相機與拍攝物體相對線性移動時，則我們稱為線性動態模糊。理論上，模糊影像可以表示成原始影像與點擴散函數的旋積，本文的研究重點為點擴散函數中模糊參數的估計，雷登轉換將被運用在此問題上。我們首先介紹兩個現有方法，我們將探討這些方法中用來消除雜訊的步驟之適用性及必要性。另一方面，在模糊參數的估計過程中，我們在雷登轉換加入圓限制以及採用移動平均法。我們透過實驗證實，本篇提出的方法可以獲得更準確的估計結果以及更好的模糊影像還原效果。 zh_TW dc.description.abstract (摘要) Nowadays, collecting a digital image becomes convenient and low-cost due to rapid progress in digital camera technology. Blurred images frequently appear because of camera shake or moving objects. There are several different types of blur. When the blur is caused by the linear motion between the object and the camera during the light exposure, it’s called a linear motion blur. Mathematically, a blurred image is expressed as a convolution of a point spread function and the original image. Our study considers Radon transform for the estimation of the point spread function. To improve the existing methods, a circle restriction and the moving average method are applied in the estimating procedure. Through intensive experiments, the proposed method is found enable to produce more accurate estimation and better performance in image restoration. en_US dc.description.tableofcontents 摘要 I英文摘要 II目次、表次和圖次 III-VI第一章 緒論 1第二章 研究方法 4 第一節 退化模型 4 壹 數位影像 4 貳 傅立葉轉換 5參 退化模型與點擴散函數 10 第二節 現有方法的介紹與評估 14 壹 現有的方法 14 貳 消除雜訊 16 參 模糊參數估計 20 肆 現有方法的評估 23 第三節 平滑法 27 第四節 影像還原 32第三章 模擬實驗 34 第一節 不同角度下參數估計結果 36 第二節 不同長度下參數估計的結果 40 第三節 平滑區間對長度估計的影響 43 第四節 影像還原 45第四章 結論 55參考文獻 56 zh_TW dc.format.extent 7154801 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0103354026 en_US dc.subject (關鍵詞) 線性動態模糊 zh_TW dc.subject (關鍵詞) 影像還原 zh_TW dc.subject (關鍵詞) 點擴散函數 zh_TW dc.subject (關鍵詞) 旋積 zh_TW dc.subject (關鍵詞) 傅立葉轉換 zh_TW dc.subject (關鍵詞) 雷登轉換 zh_TW dc.subject (關鍵詞) Linear Motion Blur en_US dc.subject (關鍵詞) Image Restoration en_US dc.subject (關鍵詞) Point Spread Function en_US dc.subject (關鍵詞) Convolution en_US dc.subject (關鍵詞) Fourier Transform en_US dc.subject (關鍵詞) Radon Transform en_US dc.title (題名) 線性動態模糊影像之研究 zh_TW dc.title (題名) A study of linear motion blurred image en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Bracewell, R. N.(2000) The Fourier Transform and Its Applications (3rd ed.), Boston: McGraw-Hill, ISBN 0-07-116043-4.Dobes ̆, M. , Machala, L. and Fu ̈rst, T. (2010) Blurred Image Restoration: A Fast Method Of Finding The Motion Length And Angle, Digital Signal Processing, vol. 20, no. 6, pp. 1677-1686.Dutta,A. , Dhar,A. and Nandy, k. (2010) Image Deconvolution By Richardson Lucy Algorithm, Indina Statistical Institute, November 2010.Fiche,C. , Ladret,P. and Vu, N.-S. (2010) Blurred Face Recognition Algorithm Guided By A No-reference Blur Metric. Proceedings of SPIE, The International Society for Optical Engineering, 7538.Lagendijk,R. L.and Biemond,J. (1999) Basic Methods For Image Restoration And Identifcation, International Conference on Image and Graphics.Lokhande,R. , Arya,K. V. and Gupta,p. (2006) Identification Of Blur Parameters and Restoration Of Motion Blurred Images, in Proc. ACM Symposium on Applied Computing, pp. 301-305.Nguyen, D. T., Cho, S. R., Pham, T. D. and Park, K. R. (2015) Human Age Estimation Method Robust To Camera Sensor And/or Face Movement, Sensors 2015, 15, 21898-21930.Richardson, W. H. (1972) Bayesian-Based Iterative Method Of Image Restoration JOSA 62.1,pp. 55-59.Tiwari, S. , Shukla, V. P. and Singh, A. K. (2013) Review Of Motion Blur Estimation Techniques, Journal of Image and Graphics vol. 1, No.4 zh_TW
