以往去交錯研究領域當中，皆未提及邊界條件與相關操作變異因素等對於畫面效果的影響，故本研究針對影像去交錯領域，使用多種補內插演算法對樣本影像加以實驗，以探討邊界條件對於去交錯之後所呈現畫面之影響。本篇針對LD、LA、ELA、ST-ELA、M-ELA、LAED、EDI、LCI等八種從早期到現代重要的內插演算法，再加上本篇研究所提出邊界處理的有無來做為實驗對照組，並針對實驗對照組箇中極大差異深入探討。本研究除了使用相當多種補內插演算法之外，還根據不同的場域，以及不同的邊界當中的上下左右邊界逐一探討。探討發現幾乎在奇數場域當中，下邊邊界部分並不因為使用邊界處理後，產生出增進影像品質的效果，反而容易更差或者所能增進的影像品質有限。實驗顯示本篇提出的方法僅佔用全部去交錯演算法總時脈數的2％左右，透過邊界實驗的結果發現有部分邊界處理不易，所產生正確與錯誤的影像結果將差距甚大，因此建議邊界問題必須謹慎而仔細的獨立設計處理。

Boundary conditions have not been addressed in the de-interlacing field, so this research was aimed at applying boundary conditions into the de-interlacing field. We
used eight known interpolation algorithms on image samples, to discuss the effects of boundary conditions. They are LD, LA, ELA, ST-ELA, M-ELA, LAED, EDI, LCI.
We consider many situations of different field's area from the top, left, right, and to the bottom edges one by one. The experiment results showed the method used 2% of total cycles. We found the boundary of the lower edge in the odd field did not perform well. In addition, we found the boundary is not easy to handle, and the choice of the
boundary would influence the final result.

[1] Microsoft Corp, “Broadcast-enabled computer hardware requirements,” in WinHEC’97, Broadcast Technologies White Paper, pp. 11–12, 1997.

[2] S. Pigeon and P. Guillotel, “Advantages and drawbacks of interlaced and progressive scanning formats,” HAMLET Rep., RACE 2110, 1996.

[3] G. de Haan, J. Kettenis, and B. De Loore, “IC for motioncompensated 100 Hz TV with natural-motion movie-mode,” IEEE Trans. Consumer Electronics, Vol. 42, pp. 165–174, May 1996.

[4] A. M. Bock, “Motion-adaptive standards conversion between formats of similar field rates, signal processing,” Image Commun., Vol. 6, pp. 275–280, Jun. 1994.

[5] N. Seth-Smith and G. Walker, “Flexible upconversion for high quality TV and multimedia displays,” in Proceedings, Int. Conf. on Consumer Electronics, ICCE, pp. 338–339, Jun. 1996.

[6] P. D. Filliman, T. J. Christopher, and R. T. Keen, “Interlace to progressive scan converter for IDTV,” IEEE Trans. Consumer Electronics, Vol. 38, pp. 135–144, Aug. 1992.

[7] C. Hentschel, “Comparison between median filtering and vertical edge controlled interpolation for flicker reduction,” IEEE Trans. Consumer Electronics, Vol. 35, pp. 279–289, Aug. 1989.

[8] T. Doyle and M. Looymans, “Progressive scan conversion using edge information,” in Signal Processing of HDTV II, pp. 711–721, 1990.

[9] H. Hwang, M. H. Lee, and D. I. Song, “Interlaced to progressive scan conversion with double smoothing,” IEEE Trans. Consumer Electronics, Vol. 39, pp.241–246, Aug. 1993.

[10] J. Salo, Y. Nuevo, and V. Hameenaho, “Improving TV picture quality with linear-median type operations,” IEEE Trans. Consumer Electronics, Vol. 34, pp. 373–379, Aug. 1988.

[11] P. Haavisto, J. Juhola, and Y. Neuvo, “Scan rate up-conversion using adaptive weighted median filtering,” in Signal Processing of HDTV II, pp. 703–710, 1990.

[12] Y. Kim and Y. Cho, “Motion adaptive deinterlacing algorithm based on wide vector correlations and edge dependent motion switching,” in Proceedings,HDTV Workshop, pp. 8B9–8B16, 1995.

[13] Houng-Kuo KuP, Member,Ting-Wei HouPP, Member, and Horng-Show KooP P, Member, “An Efficient Deinterlacing Algorithm Using Directional Interpolation,” in Proceedings, 14th International Display Workshops, IDW '07, Vol. 2, pp.1451-1454 , Dec. 2007.

[14] G. De Haan and Erwin B. Bellers, “De-interlacing-An Overview,” Proceedings of The IEEE, Vol. 86, Sep. 1998.

[15] Justin K. Romberg, Michael B. Wakin, and Richard G. Baraniuk, “Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model,” Image Processing ICIP Proceedings, International Conference, Vol 1, pp. 49-52, Sep. 2000.

[16] Pier Luigi Dragotti?? , Martin Vetterli??___ , Vladan Velisavljevic, “Directional Wavelets and Wavelet Footprints for Compression and Denoising”, International workshop on Advanced methods for multimedia signal processing, IWDC '02, Sep. 2002.

[17] Tao Chen, Hong Ren Wu, and Zheng Hua Yu, "Efficient deinterlacing algorithm using edge-based line average interpolation," Opt. Eng., Vol. 39, pp. 2101-2105, Aug. 2000.

[18] R.S. Prodan, “Multidimensional digital signal processing for television scan conversion,” Phillips J. Res., Vol.41, pp.576–603, 1986.

[19] T. Doyle, “Interlaced to sequential conversion for EDTV applications,” Proceedings, 2nd Int. Workshop on Signal Processing of HDTV, pp.412–430, Feb. 1988.

[20] H.S Oh, Y. Kim, Y.Y Jung, A.W Morales, and S.J. Ko, “Spatio-temporal edge-base median filtering for deinterlacing,” Digest of the Int. Conference on Consumer Electronics, pp.52-53, Jun. 2000.

[21] Y. Shen,D. Zhang,Y. Zhang and Jintao Li, Member IEEE, “Motion Adaptive De-interlacing of Video Data with Texture Detection,” Contributed Paper Manuscript received October 10, 2006.

[22] D.Yong,L. Sheng-li, S.Long-xing, "A Novel De-interlace Based On Spatio-Temporal Weight Adaptive and Edge-Directed Interpolation," ICSP OF IEEE , Vol 1, pp.16-20,2006.

[23] Chung-chi Lin , Ming-hwa Sheu, Huann-keng Chiang, Chishyan Liaw, and Jia-fu Lin , “Motion Adaptive De-interlacing with Local Scene Changes Detection ,”IEEE International Conference on Innovative Computing, Information and Control, ICICIC2007, Sep. 2007.
[24] P.-Y. Chen and Y.-H. Lai, "A low-complexity interpolation method for deinterlacing," IEICE Transactions Information and System, Vol. E90-D, pp.606-608, Feb. 2007.

[25] Chiu-Ching-Shan-Tse, "The technique of image compresses --- The image intelligence turns to signs," C. Huann Hwa science & technology book, CO.,LTD, 2004.

[26] M. hwa Sheu, G. De Haan and Erwin B. Bellers, C. Chishyan Liaw, C. TsaiGraduate, “An Efficient Video De-interlacing with Scene Change Detection,” Communications and Signal Processing, 2005 Fifth International Conference on Page(s):36 – 40, 06-09, Dec. 2005.