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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/34171
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dc.contributor.advisor貝蘇章
dc.contributor.authorYuan-Lung Chenen
dc.contributor.author陳元龍zh_TW
dc.date.accessioned2021-06-13T05:56:49Z-
dc.date.available2006-07-05
dc.date.copyright2006-07-05
dc.date.issued2006
dc.date.submitted2006-06-28
dc.identifier.citation[1] Keith Jack, “Video Demystified, 3rd ed.”, HARRIES, 2001.
[2] http://www.ntsc-tv.com
[3] http://en.wikipedia.org/wiki/Interlaced
[4] T.Doyle, “Interlaced to sequential conversion for EDTV applications,” in Proc. 2nd Int. Workshop Signal Processing of HDTV, Fed. 1998, pp. 418-430
[5] M. H. Lee, J. H. Kim, J. S. Lee, K. K. Ryu, and D. I. Song, “A new algorithm for interlaced to progressive based on directional correlations and its IC design,” IEEE Trans. Circuits On Syst. Video Technol., vol. 1, pp. 72-85, Mar. 1991
[6] C.J. Kuo, C. Liao and C.C. Lin, “Adaptive interpolation technique for scanning rate conversion,” IEEE Trans. On Circuits and System for Video Technology, vol. 6, pp. 317-321, June 1996
[7] Y. Kim, “Deinterlacing algorithm based on sparse wide vector corrections,” SPIE Optical Engineering, vol. 2727, pp. 89-99, 1996
[8] Hoo Yoo and Jechang Jeong, “Direction-oriented interpolation and its application to de-interlacing,” IEEE Trans. On Consumer Electronics, vol. 48, No. 4, Nov. 2002
[9] Min Kyu Parkm, Moon Gi Kang, and Kichul Nam, and Sang Gun Oh, “New edge dependent deinterlacing algorithm based on horizontal edge pattern,” IEEE Trans. On Consumer Electronics, vol. 49, No. 4, Nov. 2003
[10] F. Michaud et al. “Fuzzy detection of edge-direction for video line doubling,” IEEE Trans. On Circuits and Systems for Video Technology, vol. 7, No. 3, pp. 539-541, June 1997
[11] Gerard de Hann and Erwin B. Bellers, “Dinterlacing-An Overview,” Proceedings of the IEEE, vol. 86, No. 9, Sep. 1998
[12] S. C. Tai, C. S. Yu, and F. J. Chang, “A Motion and Edge Adaptive Deinterlacing Algorithm,” IEEE International Conference on Multimedia and Expo, pp. 659-662, 2004
[13] Mei-Juan Chen, Chin-Hui Huang and Ching-Ting Hsu, “Efficient De-interlacing Technique by Inter-field Information,” IEEE Trans. On Consumer Electronics, vol. 50, No. 4, Nov. 2004
[14] N. S. Smith and G. Walker, “Flexible upconversion for high quality TV and multimedia displays,” Proc. Int. Conf. On Consumer Electronics, ICCE’96, Chicago, pp. 337-339, June 1995
[15] David Gillies, Martin Plantholt, Dietrich Westerkamp, “ Motion adaptive field rate upconversion for 900 lines/100 Hz/2:1 displays,” IEEE Trans. On Consumer Electronics, vol. 36, No. 2, pp. 149-160, May 1990.
[16] J.S. Kwon, K. Seo, J. Kim, and Y. Kim, “A motion adaptive de-interlacing method,” IEEE Trans. On Consumer Electronics, vol. 38, No. 3, pp. 145-150, Jun. 1992
[17] S. F. Lin, Y. L. Chang, and L.G. Chen, “Motion adaptive de-interlacing by horizontal motion detection and enhanced ELA processing,” IEEE Trans. On Circuits and systems, vol. 2, pp. 696-699, May 2003
[18] D. Han, C. Y. Shin, S. J. Choi, and J. S. Park, “A motion adaptive 3-D di-interlacing aalgorithm based on the brightness profile pattern difference,” IEEE Trans. On Consumer Electronics, vol. 45, No. 3, August 19999
[19] Frederic Dufaux, and Fabrice Moscheni, “Motion estimation techniques for digital TV:A review and a new contribution,” Proceedings of the IEEE, vol. 83, No.6, June 1995
[20] Y. Y. Jung, B.T. Choi, Y. J. Park, S. J. Ko, “An effective de-interlacing technique using motion compensated interpolation.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/34171-
dc.description.abstract在過去的日子裡,交錯式的訊號廣泛的使用。而隨著高科技時代的來臨,採用交錯式或漸進式影像訊號的問題也被討論相當多年。相較於傳統的類比電視,高解析度及漸進式掃描是一種趨勢。因此,把電視訊號轉換成漸進式訊號是很重要的一門技術。而這個處理的過程就稱之為解交錯。總的來說,當我們要把交錯式的訊號內容呈現在漸進式顯示裝置上時,解交錯是不可缺少的一個步驟。
整篇論文分為四個章節。在第一章裡,我們先對解交錯做簡單的介紹。在第二章會描述一些以前所提出的演算法,並且把這些演算法分為四大類。而我們所提出來的方法則會在第三章做詳細的說明,內容包括動態偵測以及以影像特徵為基底的內插方法,同時也會提供實驗的結果。第四章是全文的總結,在此也提出未來可以改進的方向。
zh_TW
dc.description.abstractThe interlaced signals were widely used in past. With the coming of high technology age, the question to adopt interlacing or progressive video signal is discussed for many years. Comparing the traditional analog TV display, large size/high resolution and progressive scanning is the trend. Hence, it is an important technique to convert ordinary TV sequences into progressive sequences. The process is called as de-interlacing. To sum up, de-interlacing is an indispensable step while presenting interlaced content on progressive display devices.
This dissertation includes four chapters. In chapter 1, we give a brief introduction of de-interlacing. Some previous works are described in chapter 2, and we divide these into four categories. A detailed description of our proposed method is presented in chapter 3, including motion detector and feature based interpolation. Experiment results will also be provided. In chapter 4, we will conclude our researches and the future works will also be discussed here.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T05:56:49Z (GMT). No. of bitstreams: 1
ntu-95-R93942119-1.pdf: 1906523 bytes, checksum: 41b335bbebc33621d2e96f110d809cc4 (MD5)
Previous issue date: 2006
en
dc.description.tableofcontentsChapter 1 Introduction ………………………………………………….. 1
1.1 Organization ………………………………………………………………. 1
1.2 Background and motivation …………………………………………….… 2
1.2.1 What and Why “interlacing” ? ………………………………….… 3
1.2.2 What and Why “de-interlacing” ? ……………………………….... 5
1.3 Summary ………………………………………………………………….. 7
Chapter 2 Previous de-interlacing algorithms ………………………….. 9
2.1 Spatial de-interlacing algorithm ……………………………………….… 11
2.1.1 Double line interpolation …………………………………….... 11
2.1.2 Linear filtering interpolation ………………………………..… 12
2.1.3 Edge dependent interpolation ………….……...………………. 13
2.2 Spatial-Temporal de-interlacing algorithm ……………………………… 18
2.2.1 Inter-field merge interpolation ………………………………... 18
2.2.2 Inter-field average interpolation ………………………………. 20
2.2.3 Vertical-Temporal median filtering interpolation ……………... 21
2.3 Motion adaptive de-interlacing algorithm ……………..……………….... 22
2.4 Motion compensation de-interlacing …………………………………..… 23
2.5 Summary ………………………………………………...………………. 25

Chapter 3 The proposed algorithm and simulation results ……………. 27
3.1 Motion detector ………………………………………………………….. 28
3.2 Feature-based average interpolation ………………..…...……………….. 31
3.3 Simulation results ………………………………………………………... 42
3.4 Summary ………………………………………………………………… 52
Chapter 4 Conclusion …………………………………………………. 55

Reference ……………………………………………………………… 57
dc.language.isoen
dc.subject解交錯zh_TW
dc.subjectde-interlacingen
dc.title以影像特徵分類之解交錯演算法zh_TW
dc.titleDe-interlacing Algorithm Using Classification of Image Featureen
dc.typeThesis
dc.date.schoolyear94-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃文良,徐忠枝
dc.subject.keyword解交錯,zh_TW
dc.subject.keywordde-interlacing,en
dc.relation.page59
dc.rights.note有償授權
dc.date.accepted2006-06-29
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
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