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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/16722
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dc.contributor.advisor傅楸善(Chiou-Shann Fuh)
dc.contributor.authorCheng-Han Leeen
dc.contributor.author李承翰zh_TW
dc.date.accessioned2021-06-07T23:44:26Z-
dc.date.copyright2014-07-29
dc.date.issued2014
dc.date.submitted2014-07-09
dc.identifier.citation[1] N. Alldrin, 'Super-Resolution,' UCSD Research Examination Paper, 2006.
[2] R. S. Babu, and K. S. Murthy, “A Survey on The Methods of Super-Resolution Image Reconstruction,” International Journal of Computer Applications, Vol. 15, No. 2, pp. 1-6, 2011.
[3] V. Bannore, Iterative-Interpolation Super-Resolution Image Reconstruction, Springer, Berlin, 2009.
[4] S. Borman, “Topics in Multi-frame Super-Resolution Restoration,” Doctoral Dissertation, University of Notre Dame, 2004.
[5] G. Deng, L. W. Cahill, and G. R. Tobin “The Study of Logarithmic Image Processing Model and Its Application to Image Enhancement,” IEEE Transactions on Image Processing, Vol. 4, No. 4, pp. 506-512, 1995.
[6] J. Flusser, F. Sroubek, and B. Zitova’, Image Fusion: Principles, Methods, and Applications, Tutorial EUSIPCO Lecture Notes, 2005.
[7] M. D. Gupta, S. Rajaram, T. S. Huang, and N. Petrovic, 'Ordinal Regression Based Sub-Pixel Shift Estimation for Video Super-Resolution,' EURASIP Journal on Advances in Signal Processing Vol. 2007, No. 85963, pp. 1-9, 2007.
[8] M. Irani and S. Peleg, “Improving Resolution by Image Registration,” CVGIP: Graphic Models and Image Processing, Vol. 53, No. 3, pp. 231–239, 1991.
[9] M. Irani and S. Peleg, “Motion Analysis for Image Enhancement: Resolution, Occlusion & Transparency,” Journal of Visual Communication and Image Representation, Vol. 4, pp. 324–335, 1993.
[10] MapMart, “Satellite Imagery,” http://www.mapmart.com/Products/satelliteImagery.aspx, 2014.
[11] K. Mathew and D. Shibu, “Super Resolution Image Reconstruction through Wavelet Based Technique,” International Journal of Engineering, Business and Enterprise Applications, Vol. 4, No. 2, pp. 161–165, 2013.
[12] P. Milanfar, Super-Resolution Imaging, CRC Press, Boca Raton, FL, 2010.
[13] A. Ohman, “Methods and Algorithms for Image Fusion and Super Resolution,” Master Thesis, Chalmers University of Technology, 2008.
[14] L. C. Pickup, “Machine Learning in Multi-frame Image Super-Resolution,” PhD Thesis, University of Oxford, 2009.
[15] T. Stathaki, Image Fusion: Algorithms and Applications, Academic Press, Waltham, MA, 2008.
[16] H. Takeda, P. Milanfar, M. Protter, and M. Elad, “Super-Resolution without Explicit Sub-pixel Motion Estimation,” IEEE Transactions on Image Processing, Vol. 18, No. 9, pp. 1958-1975, 2009.
[17] R. Tsai and T. Huang, “Multi-frame Image Restoration and Registration,” JAI Press, Vol. 1, pp. 317–339, 1984.
[18] P. Vandewalle, S. Susstrunk and M. Vetterli1, 'A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution,' EURASIP Journal on Advances in Signal Processing, Vol. 2006, No. 71459, pp. 1-14, 2006.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/16722-
dc.description.abstract超解析度有許多種類的應用,為了要使低解析度的內容呈現在高解析度的顯示器上,市場對於超解析度的演算法有著迫切需求。本論文中提出了一個基於凸集投影的超解析度演算法。在超解析度處理中,會給定一個低品質的影像序列,而輸出我們想要得到的高品質影像。我們採用頻率域方法來估計畫面間的運動位移,也使用對數影像處理來增強輸出影像的結果。zh_TW
dc.description.abstractThe field of super-resolution has a wide area of applications. In order to display relatively low-quality content on high-resolution displays, the need for super resolution algorithms has become an urgent market priority. A method of super-resolution based on project-onto-convex-sets (POCS) is proposed in this thesis. In the super-resolution process, a set of low-quality images is given, and a single improved-resolution image is desired. We adopt frequency-domain method to estimate motion and enhance the result of high-resolution image by logarithmic image processing model.en
dc.description.provenanceMade available in DSpace on 2021-06-07T23:44:26Z (GMT). No. of bitstreams: 1
ntu-103-R01922087-1.pdf: 10579482 bytes, checksum: 3c110310c6232de54cc90ded1765d564 (MD5)
Previous issue date: 2014
en
dc.description.tableofcontents口試委員會審定書 i
誌謝 ii
中文摘要 iii
ABSTRACT iv
CONTENTS v
LIST OF FIGURES vii
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Super Resolution 1
1.3 Single-Frame Restoration 4
1.4 Multi-Frame Restoration 4
1.5 Applications of Super-Resolution 5
Chapter 2 Related Works 6
2.1 How Is Super-Resolution Possible? 6
2.2 Observation Model 7
2.2.1 Down-sampling 8
2.2.2 Warping 9
2.2.3 Blurring 10
2.3 The Point Spread Function 11
2.4 Sub-Pixel Shift 12
Chapter 3 State-of-the-Art SR Methods 14
3.1 Frequency Domain Methods 14
3.2 Spatial Domain Methods 16
3.2.1 Bicubic Interpolation 16
3.2.2 Iterative Back-Projection Techniques 17
3.2.3 Projection Onto Convex Sets 18
Chapter 4 Methodology 20
4.1 Overview 20
4.2 Motion Estimation 21
4.3 Project onto Convex Sets 23
4.3.1 Up-Sample 24
4.3.2 Shift the Up-Sampled Low-Resolution Images 24
4.3.3 Combine the Up-Sampled Images. 25
4.3.4 Linear Filtering and Iteration until It Converges 26
4.4 Image Enhancement 27
Chapter 5 Experimental Results 29
5.1 Overview 29
5.2 Experimental Environment 29
5.3 Evaluation Results 30
Chapter 6 Conclusion and Future Work 48
REFERENCES 49
dc.language.isoen
dc.subject超解析度zh_TW
dc.subject凸集投影zh_TW
dc.subject內插zh_TW
dc.subject多幀影像zh_TW
dc.subjectmultiple framesen
dc.subjectinterpolationen
dc.subjectPOCSen
dc.subjectsuper resolutionen
dc.title影像序列之超解析度影像重建zh_TW
dc.titleSuper-Resolution Image Restoration from Image Sequenceen
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳昭宇(Jhao-Yu CHEN),廖本博(Ben-Bo Liao)
dc.subject.keyword超解析度,凸集投影,內插,多幀影像,zh_TW
dc.subject.keywordsuper resolution,POCS,interpolation,multiple frames,en
dc.relation.page51
dc.rights.note未授權
dc.date.accepted2014-07-09
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊工程學研究所zh_TW
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