未來展望

從本文解交錯的研究中，在雙圖場動作補償的架構基礎下，可藉由移動資訊的適應 性判斷，提高補償的正確性。最後歸納兩部份的未來的工作與展望。

就品質而言，區塊比對的動作估計補償其效能會限制在區塊的大小，要再讓品質進 一步的提昇，可加入更精確的可變區塊大小 (Variable Block Size)的子區塊動作估計補償 處理等，區分出更小區塊的移動向量，以及小區塊的移動向量的可靠度判斷的對策等，

做更精確的補償，也都是可探討的研究方向。

以硬體而言，本文嘗試用雙圖場動作估計的解交錯，先降低所需要的記憶體數量，

其計算量就可小於多圖場的動作估計，再提昇其準確度，來達到較好的顯示品質。所以 在代價上，降低全區搜尋的計算量，又可維持移動向量的準確也是需要去探討的研究。

或者是使用快速動作搜尋，快速動作搜尋雖然可降低計算量，但快速搜尋要克服的會是 移動向量的準確性等問題。且對解交錯而言，不只有移動向量的準確度，補償影像後的 視覺效果也是要考慮的。

就以架構上的區分，外解交錯的技術除了動作估計補償解交錯外，許多研究也有嘗 試使用不同的架構，例如使用影像的著色修補(Inpainting) ，或是更準確的邊緣線判斷內 插等。而從解交錯的技術應用到相關動態影像處理上也是非常的重要，可應用這樣的動 作判斷，重建遺失的影像，做有效的內插補點，並研究相關更多動態影像抽補點的動作 補償等。

89

參考文獻

[1]G. De Haan and E. B. Bellers, “Deinterlacing – An Overview,”in Proc. of IEEE, vol. 86, no. 9, pp.1839 – 1857, Sep. 1998.

[2]G. De Haan and E.B Bellers, De-interlacing – A Key Technology for Scan Rate Conversion, Elsevier, 2000.

[3]M. Zhao and G. de Haan, “Content adaptive vertical temporal filtering for de-interlacing,”

in Proc. ICSE05, pp. 69 - 73,Jun. 2005.

[4]S.-K. Kwon, K.-S. Seo, J.-K. Kim, and Y.-G. Kim, “A motion-adaptive de-interlacing method,” IEEE Transactions Consumer Electronics, vol. 38, no. 3, pp.145–150, Aug.

1992.

[5]K. Sugiyama and H. Nakamura, “A method of de-interlacing with motion compensated interpolation,” IEEE Transactions Consumer Electronics, vol. 45, no. 3, pp. 611–616, August 1999.

[6]Keith Jack, Video Demystified, 3 ed., HARRIS, 2001.

[7]C. J. Kuo, C. Liao, and C. C. Lin, “Adaptive interpolation technique for scanning rate conversion,” IEEE Transactions Circuits and Systems for Video Technology, vol. 6, no.

3, pp. 317–321, Jun. 1996.

[8]J. Salo, Y. Nuevo and V. Hameenaho, “Improving TV picture quality with linear-median type operations,” IEEE Transactions Consumer Electronics., vol. 34, no. 3, pp. 373–379, Aug.1988.

[9]C. Hentschel “Comparison between median filtering and vertical edge controlled interpolation for flicker reduction,” IEEE Transactions Consumer Electronics., vol. 35, pp.

279–289, Aug. 1989.

90

[10]M.K. Park, Moon.G. Kang, K. Nam and S.G. Oh, “New Edge Dependent Deinterlacing Algorithm Based on Horizontal Edge Pattern,”IEEE Transactions Consumer Electronics, vol. 49, no. 4, Nov 2003.

[11]M.H. Lee, J.H Kim, J.S. Lee, K.K. Ryu and D. Song, “A new algorithm for interlaced to progressive scan conversion based on directional correlations and its IC design,” IEEE Transactions Consumer Electronics., vol. 40, pp. 119–129, May 1994.

[12]F. Michaud, C. T. Le Dinh, and G. Lachiver, “Fuzzy Detection of Edge-Direction for Video Line Doubling,”IEEE Transactions Circuits and Systems for Video Technology, vol. 7, no. 3, pp. 539-542, June 1997.

[13]H.S. Oh, Y. Kim, Y.Y. Jung, et al , “Spatio-temporal edge-based median filtering for deinterlacing,”IEEE International Conference on Consumer Electronics, pp.52–53, 2000.

[14]T. Koivunen, “Motion Detection of an Interlaced Video Signal,”IEEE Transactions Consumer Electronics, vol. 40, no 3, pp.753-760, August 1994.

[15]C. Hentschel, “High quality noise insensitive motion detector using one field memory,”

IEEE Transactions Consumer Electronics., vol. 42, no. 3, pp.696–704, Aug. 1996.

[16]F. Dufaux and F. Moscheni, “Motion estimation techniques for digital TV: A review and a new contribution,” Proc. IEEE, vol. 83, pp. 858–876,June 1995.

[17]F. M. Wang, D. Anastassiou, and A. M. Netravali, “Time-recursive deinterlacing for IDTV and pyramid coding,” Image Commun. J., vol. 2, pp. 365–374, Oct. 1990.

[18]A. J. Patti, M. I. Sezan, and A. M. Tekalp, “Robust methods for highquality stills from interlaced video in the presence of dominant motion,”IEEE Transactions Circuits and Systems for Video Technology, vol. 7, no. 2, pp. 328–342,Apr. 1997.

[19]O. Kwon, K. Sohn, and C. Lee, “Deinterlacing using Directional Interpolation and Motion Compensation,”IEEE Transactions Consumer Electronics, vol. 49,no. 1,pp.

198-203, February 2003.

91

[20]Y.Y. Jung, B.T. Choi, Y.J. Park, S.J. Ko,“An Effective De-interlacing Technique Using Motion Compensated Interpolation,” IEEE Transactions Consumer Electronics, vol. 46, no. 3, pp. 460 –466, Aug. 2000.

[21]YL Chang, SF Lin, CY Chen, LG Chen, “Video De-Interlacing by Adaptive 4-Field Global/Local Motion Compensated Approach,” IEEE Transactions Circuits and Systems for Video Technology, vol. 15, no. 12, pp. 1569-1582,Dec. 2005.

[22]D Wang, A Vincent, P Blanchfield, “Hybrid de-interlacing algorithm based on motion vector reliability,”IEEE Transactions Circuits and Systems for Video Technology, vol.15, no.8, pp. 1019-1025, Aug. 2005.

[23]HM Mohammadi, P Langlois, Y Savaria, “A Five-Field Motion Compensated De-interlacing Method Based on Vertical Motion,”IEEE Transactions Consumer Electronics, vol.53, no.3, pp.1117-1124, Aug. 2007.

[24]S. Byun, J. Byun, G. Kim, "A recursive approach for de-interlacing using improved ELA and motion compensation based on bi-directional BMA," International Conference on Image Processing , Vol. 3., pp. 1679-1682,Oct. 2004.

[25]J. Kovacevie, R. J. Safrank, and E. M. Yeh, “Deinterlacing by successive approximation,”

IEEE Transactions Image Processing, vol. 6, pp. 339–344, Feb. 1997.

[26]D. Han, C.Y. Shin, S.J. Choi, J.S. Park,"A Motion Adaptive 3-D De-interlacing Algorithm Based on The Brightness Profile Pattern Difference,"IEEE Transactions Consumer Electronics, vol. 45 no. 3 , pp 690 -697, Aug. 1999.

[27]T.S. Chong, O.C. Au, W.S. Chau, T.W. Chan, "A content adaptive de-interlacing algorithm," IEEE International Symposium on Circuits and Systems, no. Vol. 5, pp.

4923-4926,May. 2005.

[28]G. De Haan, “De-interlacing of video data,” IEEE Transactions Consumer Electronics, vol. 43, no. 3, pp. 819–825, Aug. 1997.

92

[29]X. Gao, J. Gu, J. Li, "De-interlacing algorithms based on motion compensation," IEEE Transactions Consumer Electronics, vol.51, no.2, pp. 589-599, May 2005

[30]M. Biswas and T. Q. Nguyen, ”A novel de-interlacing technique based on phase plane correlation motion estimation,” in Proc. IEEE International Symposium on Circuits and Systems, pp. (11)604-607, May 2003.

[31]Q. Huang, W. Gao, D. Zhao, and H. Sun, “An efficient and robust adaptive de-interlacing technique,” IEEE Transactions Consumer Electronics, vol. 52, no. 3, pp. 888-895, Aug.

2006.

[32]S.F Lin, Y.L. Chang, and L. G. Chen, "Motion adaptive de-interlacing by horizontal motion detection and enhanced ELA processing," in Proc. IEEE International Symposium on Circuits and Systems ,vol. 49, no. 4, pp.1256-1265, Nov. 2003.

[33]K. Jensen and D. Anastassiou, “Sub-pixel edge localization and the interpolation of still images,” IEEE Transactions Image Processing, vol. 4, pp.285–295, Mar. 1995.

[34]G. de Haan and R. Lodder, “De-interlacing of Video Data Using Motion Vectors and Edge Information,” IEEE Transactions Consumer Electronics,pp.70-71, Jun. 2002

[35]P.M. Kuhn, Algorithms, complexity analysis and VLSI architectures for MPEG-4 motion estimation , Kluwer Acadmic, Boston,1999.

93

自傳

姓名：李裕鴻，

籍貫：台灣彰化縣

學歷：90年畢業於台灣國立聯合大學電子工程系 兵役：92年役畢

經歷：92~98年服務於天鈺科技，負責TFT驅動電路之數位電路設計研發

專長：數位IC設計，TFT驅動電路之數位電路設計，數位影像處理與電路設計，影像處 理之系統驗證與FPGA應用。