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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 Mingen_US
dc.contributor.author (Authors) 吳諭忠zh_TW
dc.contributor.author (Authors) Wu, Yu Chungen_US
dc.creator (作者) 吳諭忠zh_TW
dc.creator (作者) Wu, Yu Chungen_US
dc.date (日期) 2016en_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) G0103354026en_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) 103354026zh_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/#G0103354026en_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 Bluren_US
dc.subject (關鍵詞) Image Restorationen_US
dc.subject (關鍵詞) Point Spread Functionen_US
dc.subject (關鍵詞) Convolutionen_US
dc.subject (關鍵詞) Fourier Transformen_US
dc.subject (關鍵詞) Radon Transformen_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 imageen_US
dc.type (資料類型) thesisen_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