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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 貝蘇章(Soo-Chang Pei) | |
dc.contributor.author | Chia-Hung Lee | en |
dc.contributor.author | 李家宏 | zh_TW |
dc.date.accessioned | 2021-06-15T00:15:02Z | - |
dc.date.available | 2009-06-30 | |
dc.date.copyright | 2009-06-30 | |
dc.date.issued | 2009 | |
dc.date.submitted | 2009-06-22 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/41270 | - |
dc.description.abstract | 當影像取樣的頻率太低時,影像就會發生混疊(aliasing)。傳統上,我們認為混疊是無用的並且使用抗混疊(anti-aliasing)濾波器將其消除。然而,這也消除了其中的資訊。事實上,混疊中也包含了影像高頻成分中的資訊,利用於超分辨率(super-resolution)的應用中。我們對同一個風景的一組影像擷取高頻資訊,並建立高解析度無混疊的影像。通常不同影像之間存在一些小位移,蘊含了對於風景些微不同的資訊。
超分辨率影像重建可以被表示成一個偏移量未知的多頻道取樣問題。在這篇論文中,我們專注在運算這些偏移量,因為這是高解析度重建的必要條件。Vandewalle, Susstrunk和Vetterli提出了一個基於傅立葉轉換的頻域方法。一對影像的配準參數可以利用頻譜中沒有發生混疊的部分求得。然而,這個方法無法用在完全混疊的信號上。在這篇論文中,我們利用加伯轉換(Gabor transform)將其延伸到時頻域。理論上,我們的演算法會有更好的結果,因為頻域方法只是時頻域方法的一個特例。實驗的結果也的確證明了我們的方法在處理真實信號和影像時,的確有比較好的表現。 | zh_TW |
dc.description.abstract | Aliasing in images occurs when an image is sampled at a too low sampling rate. Conventionally, we consider aliasing useless and cancel it with an anti-aliasing filter. However, this also destroyed the information. In fact, aliasing also conveys useful information about the high frequency content of the image, which is exploited in super-resolution applications. We use a set of input images of the same scene to extract such high frequency information and create a higher resolution aliasing-free image. Typically, there is a small shift between the different images, such that they contain slightly different information about the scene.
Super-resolution image reconstruction can be formulated as a multichannel sampling problem with unknown offsets. This thesis concentrates on the computation of these offsets, as they are an essential prerequisite for an accurate high resolution reconstruction. A frequency domain approach based on Fourier transform is proposed by Vandewalle, Susstrunk, and Vetterli. The registration parameters between a pair of signals are computed using the aliasing-free part of the spectrum. However, the method cannot work for totally-aliased signals. In this thesis, we extend the concept to the time-frequency domain, based on Gabor transform. Theoretically, our algorithm will perform better, since the frequency domain approach is simply a special case of the time-frequency domain approach. The experiment results show that the performance indeed increases when dealing with real signals and images. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T00:15:02Z (GMT). No. of bitstreams: 1 ntu-98-R96942050-1.pdf: 2409278 bytes, checksum: f5b3c9d9f29f1380a74ce51321f2b08f (MD5) Previous issue date: 2009 | en |
dc.description.tableofcontents | 試委員會審定書 i
誌謝 iii 中文摘要 v ABSTRACT vii CONTENTS ix LIST OF FIGURES xiii LIST OF TABLES xv Chapter 1 Introduction 1 1.1 Resolution 2 1.2 Super-resolution imaging 3 1.3 Aliasing 6 1.4 Applications 7 1.5 Thesis outline 9 Chapter 2 Problem Setup 11 2.1 Sampling methods 11 2.2 Multichannel sampling 14 2.3 Aliasing 16 2.4 Super-resolution imaging 19 2.4.1 Registration 20 2.4.2 Reconstruction 23 2.5 Conclusions 25 Chapter 3 Shift Estimation Algorithms 27 3.1 Frequency domain approach 27 3.1.1 Shift property of Fourier transform 28 3.1.2 Shift estimation 29 3.1.3 Limits of frequency domain approach 33 3.2 Time-Frequency domain approach 33 3.2.1 Typical time-frequency representations 34 3.2.2 Shift property of Gabor transform 39 3.2.3 Shift estimation 40 3.2.4 Weighting enhancement 43 3.3 Conclusions 44 Chapter 4 Experimental Results 47 4.1 Registration performance comparison 47 4.1.1 Artificial sinusoidal signal 48 4.1.2 Acoustic signal 54 4.1.3 Speech signal 60 4.2 Super-resolution imaging 66 4.2.1 Text 69 4.2.2 Ruler 72 4.2.3 Pillar 75 4.3 Conclusions 78 Chapter 5 Conclusions and Future Works 79 5.1 Thesis conclusions 79 5.2 Future works 81 REFERENCE 83 | |
dc.language.iso | en | |
dc.title | 以時頻分析的方法實現超分辨率 | zh_TW |
dc.title | A Time-Frequency Domain Approach to Super-resolution | en |
dc.type | Thesis | |
dc.date.schoolyear | 97-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 曾建誠(Chien-Cheng Tseng),張豫虎(Yuh-Huu Chang),馮世邁(See-May Phoong) | |
dc.subject.keyword | 超分辨率,配準,混疊,時頻,加伯轉換, | zh_TW |
dc.subject.keyword | Super-resolution,registration,aliasing,time-frequency,Gabor transform, | en |
dc.relation.page | 90 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2009-06-23 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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