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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電機工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36588
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳永耀
dc.contributor.authorPao-Sheng Chiouen
dc.contributor.author邱保盛zh_TW
dc.date.accessioned2021-06-13T08:06:46Z-
dc.date.available2008-07-28
dc.date.copyright2005-07-28
dc.date.issued2005
dc.date.submitted2005-07-21
dc.identifier.citation[1] M. Oshima, T. Hayashi, S. Fujioka, and T. Inaji, “VHS camcorder with electronic image stabilizer,” IEEE Trans. Consumer Electronics, vol. 35, no. 4, pp. 749-758, Nov. 1989.
[2] K. Uomori, A. Morimura, H. Ishii, T. Sakaguchi, and Y. Kitamura, 'Automatic Image Stabilizing System by Full-Digital Signal Processing,' IEEE Trans. Consumer Electronics, vol. 36, no. 3, pp. 510-519, Aug. 1990.
[3] J. K. Paik, Y. C. Park, and S. W. Park, 'An Edge Detection Approach to Digital Image Stabilization Based on Tri-State Adaptive Linear Neurons,' IEEE Trans. on Consumer Electronics, vol. 37, no. 3, pp. 521-530, Aug. 1991.
[4] J. K. Paik, Y. C. Park, and D. W. Kim, “An Adaptive Motion Decision System for Digital Image Stabilizer Based on Edge Pattern Matching,” IEEE Trans. on Consumer Electronics, vol.38, no. 3, pp. 607-615, Aug. 1992.
[5] K. Sato, S. Ishizuka, A. Nikami, and M. Sato, “Control Techniques for Optical Image Stabilizing System”, IEEE Trans. on Consumer Electronics, vol. 39, no. 3, pp. 461-465, Aug. 1993.
[6] M. Sekine, T. Kondou and H. Hirose, “Motion Vector Detecting System for Video Image Stabilizers”, IEEE International Conference on Consumer Electronics, 1994, pp. 268-269, June 1994.
[7] M. Hansen, P. Anandan, K. Dana, et al., “Real-Time Scene Stabilization and Mosaic Construction”, Image Understanding Workshop Proceedings, vol. 1, pp. 457-465, Dec. 1994.
[8] C. Morimoto and R. Chellappa, “Fast Electronic Digital Image Stabilization”, Proceedings 13th International Conf. on Pattern Recognition, vol. 3, pp. 284-8, Aug. 1996.
[9] S. J. Ko, S. H. Lee, and K. H. Lee, 'Digital Image Stabilizing Algorithms Based on Bit-Plane Matching,' IEEE Trans. on Consumer Electronics, vol. 44, no. 3, pp, 617-622, Aug. 1998.
[10] S. J. Ko, S. H. Lee, S. W. Jeon, and E. S. Kang, “Fast Digital Stabilizer Based on Gray-Coded Bit-Plane Matching”, IEEE Trans. on Consumer Electronics, vol. 45, no.3, Aug. 1999.
[11] A. Engelsberg and G. Schmidt, “A Comparative Review of Digital Image Stabilizing Algorithms for Mobile Video Communications”, IEEE Trans. on Consumer Electronics, vol. 45, no. 3, pp. 591-597, Aug. 1999.
[12] S. Erturk, “Image Sequence stabilization: Motion vector integration (MVI) versus frame position smoothing (FPS)”, in Proc. of IEEE – Eurasip Symp. on Image and Signal Processing, pp. 266-271, June 2001.
[13] J. S. Jin, Zhigang Zhu and Guangyou Xu, “Digital video sequence stabilization based on 2.5D motion estimation and inertial motion filtering”, Real-Time Imaging, vol. 7, no. 4, pp. 357-365, Aug. 2001.
[14] G. R. Chen, Y. M. Yeh, S. J. Wang, and H. C. Chiang, “A Novel Structure for Digital Image Stabilizer”, IEEE Asia-Pacific Conference on Circuits and Systems: Electronic Communication Systems, pp. 101-104, Dec. 2000.
[15] L. Marcenaro, G. Vernazza and C. S. Regazzoni, “Image Stabilization Algorithms for Video-Surveillance Applications”, IEEE International Conference on Image Processing, vol. 1, pp. 349-352, Oct. 2001.
[16] J. Y. Chang, W. F. Hu, M. H. Cheng and B. S. Chang, “Digital Image Translational and Rotational Motion Stabilization Using Optical Flow Technique”, IEEE Transactions on Consumer Electronics, vol. 48, no. 1, pp. 108-115, Feb. 2002.
[17] F. Vella, A. Castorina, M. Mancuso and G. Messina, “Digital Image Stabilization by Adaptive Block Motion Vectors Filtering”, IEEE Transactions on Consumer Electronics, vol. 48, no. 3, pp. 796-801, Aug. 2002
[18] S. Erturk, “Digital Image Stabilization with Sub-image Phase Correlation Based Global Motion Estimation”, IEEE Transactions on Consumer Electronics, vol. 49, no. 4, pp. 1320-1325, Nov. 2003.
[19] H. C. Chang, S. H. Lai, and K. R. Lu, “A Robust and Efficient Video Stabilization Algorithm”, 2004 IEEE International Conference on Multimedia and Expo (ICME), vol. 1, pp. 29-32, June. 2004.
[20] Z. Duric and A. Rosenfeld, “Stabilization of Image Sequences”, University of Maryland, Tech. Rep. CAR-TR-778, July, 1995.
[21] B. Horn and B. Schunck, 'Determining Optical Flow,' Artificial Intelligence, vol. 17, pp. 185--203, 1981.
[22] ”Video Processing And Communications “,Y. Wang, J. Ostermann, and Y. Q. Zhan, Prentice Hall
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36588-
dc.description.abstract畫面晃動的現象普遍存在於視訊當中,而成因主要來自於攝影機的搖晃。這些搖晃通常是些高頻且不平順的運動。數位式影像穩定化設計的目的便在於消除這些畫面晃動的現象。數位式影像穩定設計主要可以分成兩部分,包括運動的估測和視訊的補償。運動估測的目的在於利用影像處理的技術來估測攝影機的運動行為。視訊補償的目的在於將所估測的運動行為中不必要的運動移除,提供穩定的視訊。
本篇論文主要針對平移和旋轉的畫面晃動提出演算法。運動估測的準確性常影響著影像穩定的效果。當攝影機同時受到平移和旋轉的搖晃時,為提昇運動估測的準確性,本論文提出一個尋找攝影機運動的旋轉中心的概念,且根據這個概念推導出能獲得平移、旋轉和旋轉中心等相關資訊的仿射運動模型。
zh_TW
dc.description.abstractThe task of image stabilization systems is to eliminate the image fluctuations caused by unwanted camera movement, while preserving only the intentional camera movement. A digital image stabilization system can be divided into two major parts: one is the motion estimation unit which aims at estimating the global motions of inter-frames and another one is the motion correction unit which aims at eliminating image fluctuations.
In this thesis, an algorithm of digital image stabilization which aims at handling both translational and rotational fluctuations is proposed. In order to improve the accuracy of global motion estimation, a concept based on searching the rotational center of a rigid camera motion is proposed and a modified 3-parameter affine motion model is derived. Then, information about the rotation angle, the rotational center and the translation vector can be obtained.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T08:06:46Z (GMT). No. of bitstreams: 1
ntu-94-R92921068-1.pdf: 1112724 bytes, checksum: 7b9429059f9b3ea8dfaa0d56034cf4d6 (MD5)
Previous issue date: 2005
en
dc.description.tableofcontents摘要 i
Abstract ii
List of Figures v
List of Tables vii
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Classifications of Image Stabilization Systems 3
1.3 Digital Image Stabilization Systems 6
1.4 Problem Formulation 7
1.5 Thesis Organization 8
Chapter 2 Functional Blocks of Digital Image Stabilization Systems 9
2.1 Pre-Processing Unit 10
2.1.1 Image Filtering 10
2.1.2 Edge Detection 11
2.1.3 Bit-plane Decomposition 12
2.2 Motion Estimation Unit 15
2.2.1 Local Motion Estimation Unit 15
2.2.2 Global Motion Estimation Unit 23
2.3 Motion Correction Unit 28
2.3.1 Motion Smoothing Unit 28
2.3.2 Motion Compensation Unit 31
Chapter 3 Modified Three-Parameter Affine Motion Model for Digital Image Stabilization Systems 33
3.1 Hierarchical Block Matching Algorithm 35
3.2 Statistical Analysis 39
3.3 Three-Parameter Affine Motion Model for Translation and Rotation 41
3.4 Modified Three-Parameter Affine Motion Model 48
3.5 Motion Correction 53
Chapter 4 Simulation Results 55
4.1 Verification of the Algorithm for Searching the Real Rotational Center 55
4.2 Stabilization Results of an Image Sequence 61
Chapter 5 Conclusion 67
References 69
dc.language.isoen
dc.subject數位式影像穩定zh_TW
dc.subject仿射運動模型zh_TW
dc.subject旋轉中心zh_TW
dc.subjectAffine Motion Modelen
dc.subjectRotational Centeren
dc.subjectDigital Image Stabilizationen
dc.title針對平移與旋轉晃動偵測與消除之數位式影像穩定設計zh_TW
dc.titleDigital Image Stabilization for Detection and Elimination of Translational and Rotational Fluctuationsen
dc.typeThesis
dc.date.schoolyear93-2
dc.description.degree碩士
dc.contributor.oralexamcommittee傅立成,顏家鈺,王克萍
dc.subject.keyword數位式影像穩定,旋轉中心,仿射運動模型,zh_TW
dc.subject.keywordDigital Image Stabilization,Rotational Center,Affine Motion Model,en
dc.relation.page71
dc.rights.note有償授權
dc.date.accepted2005-07-21
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電機工程學研究所zh_TW
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