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研究生:侯凱文
研究生(外文):Kai-Wen How
論文名稱:利用MPEG-4解碼資訊進行可適性去交錯處理
論文名稱(外文):Adaptive De-interlacing Process Using MPEG-4 Decoded Information
指導教授:賴飛羆賴飛羆引用關係
指導教授(外文):Feipei Lai
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:電機工程學研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:英文
論文頁數:81
中文關鍵詞:MPEG-4去交錯可適性去交錯
外文關鍵詞:de-interlacingadaptive de-interlacingMPEG-4
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在循序顯示器上播放交錯影像內容時,去交錯處理是必要的.在這篇論文中提出了在進行去交錯處理時利用視訊解碼器提供的資訊此一構想.在提出的架構中,直接利用MPEG-4解碼所得資訊來得到畫面動態的資訊省下了釵h處理的時間.以區塊為基礎的去交錯處理免除了全畫面濾鏡處理的需要,並且能得到近似的效果,因此更適合軟體上的應用考量.實驗結果顯示出,在跟傳統動態可適性去交錯處理比較下省下30%到40%的執行時間,並且以PSNR衡量的影像品質來說,有至少一樣甚至更好的表現
De-interlacing is indispensable while presenting interlaced content on progressive display devices. Utilizing information from the video decoder while performing de-interlacing is proposed in this thesis. The proposed scheme derives motion behavior directly for the MPEG-4 decoded information, thus saves much processing time. Block-based de-interlacing prohibits the need of applying whole frame filtering while giving similar effects, therefore makes our scheme suitable for software implementations. Experiments results show that 30% to 40% performance improvement in execution time is gained while yielding the same and sometimes better quality measured in PSNR compared to traditional motion adaptive de-interlacing method.
Chapter 1 Introduction 1
1.1 Thesis Organization …………………………………………………… 1
1.2 Motivation: What and Why …………………………………………… 2
1.2.1 What is Interlacing? ……………………………………………… 2
1.2.2 Raster Scan ……………………………………………………… 3
1.2.3 Why Interlacing? ………………………………………………… 3
1.2.4 What is De-interlacing? …………………………………………… 5
1.2.5 Motivation: Why De-interlacing ………………………………… 5
1.3 More Discussion on Interlaced Video ………………………………… 7
1.3.1 Signal Analysis …………………………………………………… 7
1.3.2 Different Scan Manner and Format ……………………………… 13
1.3.3 Interlacing Artifacts ……………………………………………… 16
1.3.4 De-interlacing Artifacts …………………………………………… 20
1.3.5 More on Applying De-interlacing ………………………………… 22
1.4 Interlaced Coding in Video Coding Standard …………………………… 25
1.5 Sum-Up ………………………………………………………………… 32

Chapter 2 De-interlacing Method 33
2.1 Intra-Field De-interlacing Method ……………………………………… 33
2.2 Inter-Field De-interlacing Method……………………………………… 36
2.3 Motion Adaptive De-interlacing Method……………………………… 36
2.4 Motion Compensated De-interlacing Method ………………………… 39
2.5 Sum-up………………………………………………………………… 40
Chapter 3 Proposed Method
41
3.1 Comparison of different methods ………………………………………… 41
3.2 MPEG-4 Coding Information …………………………………………… 42
3.3 Scheme Planning ………………………………………………………… 44
3.4 Implementation Detail …………………………………………………… 45
3.4.1 Adaptive Motion Detection Threshold ……………………………… 45
3.4.2 Failure of 4-Field Motion Detection in Same Parity ……………… 46
3.4.3 Utilizing MPEG-4 Decoded Information …………………………… 47
3.4.4 Motion Compensated De-interlacing ……………………………… 48
3.4.5 Complete Flow………………………………………………………. 50
3.5 Sum-up …………………………………………………………………… 50

Chapter 4 Experiment 51
4.1 Implemented De-interlacing Methods…………………………………… 51
4.2 Experiment Platform……………………………………………………… 51
4.3 Benchmark Video Sequence Introduction………………………………… 52
4.4 PSNR Performance and Picture Result…………………………………… 59
4.5 Discussion………………………………………………………………… 72

Chapter 5 Conclusion
75

Bibliography
77

Appendix 79
[1] Original picture from http://www.dpreview.com/ (SD10 review gallery)
[2] Picture from animation DVD title: “LAST EXILE” by GONZO, Victory
Entertainment from Japan.
[3] Original picture from http://www.ntsc-tv.com
[4] Pob A Beuker and Imran A. Shah, “Analysis of Interlaced Video Signal and Its Applications,” IEEE Transactions on Image Processing, Vol. 3, No. 5,
September 1994.
[5] Specifications of Consumer-Use Digital VCRs Using 6.3mm magnetic tape,
HD Digital VCR Conference, December 1994.
[6] Specifications of Digital Interface for Consumer Electronic Audio/Video
Equipment, HD Digital VCR Conference, December 1994.
[7] “Generic coding of moving pictures and associated audio International Organization for Standardization,” ISO/IEC 13 818-2, International
Standard (MPEG-2 Video), January 1995.
[8] Visual International Organization for Standardization, “Information technology-coding of audio-visual objects,”, ISO/IEC 14 496-2, Committee
Draft (MPEG-4 Video), March 1998.
[9] T. Doyle and M. Looymans, “Progressive scan conversion using edge information,” Signal processing of HDTV, Ⅱ, pp. 711-721, 1990.
[10] T. Doyle, “Interlaced to Sequential Conversion for EDTV Applications,” in Proc. 2nd International Workshop Signal on Processing for HDTV,
pp. 412-430, February 1988.
[11] Ho Young Lee, Jin Woo Park, Sang Um Choi, Tae Min Bae, and Yeong Ho Ha, “Adaptive Scan Rate Up-Conversion System Based on Human Visual Characteristics”, IEEE Trans Consumer Electronics, Vol. 46, Issue: 4, pp.
999-1006, November 2000.
[12] Y. Kim, “Deinterlacing algorithm based on sparse wide vector correlations,” SPIE Optical Engineering, vol. 2727, pp. 89-99, 1996.
[13] Min Kyu Park, Moon Gi Kang, Kichul Nam, and Sang Gun Oh, “New Edge Dependent Deinterlacing Algorithm Based on Horizontal Edge Pattern,” IEEE Trans Consumer Electronics, Vol. 49, No. 4, November
2003.
[14] You-Young Jung, Byung-Tae Choi, Yung-Jun Park, and Sung-Jea Ko,“An Effective De-interlacing Technique Using Motion Compensated Interpolation”, IEEE Transactions on Consumer Electronics, Vol. 46 Issue:
3, pp. 460 –466, August 2000.
[15] Shyh-Feng Lin, Yu-Ling Chang, and Liang-Gee Chen, “Motion Adaptive Interpolation with Horizontal Motion Detection for Deinterlacing,” IEEE Transactions on Consumer Electronics, Vol. 49, No. 4, November 2003
[16] Kenji Sugiyama and Hiroya Nakamura, “A Method Of De-Interlacing With Motion Compensated Interpolation,” IEEE Transactions on Consumer
Electronics, Vol. 45, No. 3, August 1999.
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