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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/16722完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 傅楸善(Chiou-Shann Fuh) | |
| dc.contributor.author | Cheng-Han Lee | en |
| dc.contributor.author | 李承翰 | zh_TW |
| dc.date.accessioned | 2021-06-07T23:44:26Z | - |
| dc.date.copyright | 2014-07-29 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-07-09 | |
| 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.uri | http://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.abstract | The 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.provenance | Made 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.iso | en | |
| dc.title | 影像序列之超解析度影像重建 | zh_TW |
| dc.title | Super-Resolution Image Restoration from Image Sequence | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-2 | |
| 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.keyword | super resolution,POCS,interpolation,multiple frames, | en |
| dc.relation.page | 51 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2014-07-09 | |
| 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 |
| 顯示於系所單位： | 資訊工程學系 | |
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|---|---|---|---|
| ntu-103-1.pdf 目前未授權公開取用 | 10.33 MB | Adobe PDF |
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