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Efficient Hybrid Motion Compensated Adaptive De-interlacing Algorithm for Video Post Processing
|關鍵字:||motion compensated;移動補償;de-interlacing;解交錯||出版社:||電機工程學系所||引用:|| Video Demystified，Fourth Edition by Keith Jack  http://aajulia.myweb.hinet.net/gogopage/ Premiere Pro 線上查閱  http://zh.wikipedia.org 維基百科  T.Doyle and M. Looymans, “Progressive scan conversion using edge information,”Signal Processing of HDTV II, pp.711-721.1990.  T.Koivunen,“Motion detection of an interlaced video signal,”IEEE Transactions on Consumer Electronics, Volume 40 ,Issue 3, pp.753-760, August 1994.  C.T.Hsu, M.J.Chen, and C.H.Huang, “High performance spatial-temporal de-interlacing technique using inter-field information,” IEEE International Symposium on Circuits and Systems, Volume 2, May 2004.  Brox, P.; Baturone, I.; Sanchez-Solano，S., “Interlaced to progressive scan conversion using fuzzy edge-based line average algorithm,”Intelligent Signal Processing, Volume, Issue 1-3 September 2005.  Mohammadi, H.M. Langlois, P. Savaria, Y., “A five-field motion compensated de-interlacing method based on vertical motion,”IEEE Transactions on Consumer Electronics, Volume 53, Issue 3, pp. 1117-1124, August 2007.  Chung and Chia-Hao,“A de-interlacing algorithm using spatial-temporal correlation assisted motion estimation,” 台灣大學電信工程研究所,2007.  Tak-Song Chong, Oscar C. Au, Tai-Wai Chan, and Wing-San Chau, “A spatial-temporal de-interlacing algorithm,”IEEE International Conference on Multimedia and Expo, July 2005.  K. Sugiyama and H. Nakamura, “A method of de-interlacing with motion compensated interpolation,” IEEE Transactions on Consumer Electronics, Volume 45, Issue 3, pp. 611–616, August 1999.  D. Van de Ville, W. Philips, and I. Lemahieu, “Motion compensated de-interlacing for both real time video and still images,” International Conference on Image Processing, Volume 2, pp. 680–683, 2000.  G. De Haan, “Motion compensated de-interlacing, noise reduction, and picture rate conversion,” IEEE Transactions on Consumer Electronics Volume 45, Issue 3, pp. 617–624, August 1999.  De Haan, G.; Bellers, E.B. “De-interlacing of video data,” IEEE Transactions on Consumer Electronics ,Volume 43, Issue 3, pp. 819–825, August 1997.  R. J. Schutten and G. de Haan, “Real-time 2–3 pull-down elimination applying motion estimation/compensation in a programmable device,” IEEE Transactions on Consumer Electronics Volume 44, Issue 3, pp. 930–938, August 1998.  P. L. Swan, “Method and apparatus for providing interlaced video on a progressive display,” U.S. Patent 5864369, January 1999.  H. Jiang and C. Moloney, “A new direction adaptive scheme for image interpolation,” International Conference on Image Processing, Volume 3, pp. 369–372, 2002.  T. Blu, P. Thevenaz, and M. Unser, “How a simple shift can significantly improve the performance of linear interpolation,” International Conference on Image Processing, Volume 3, pp. 377–380, 2002  Y.-L. Chang, S.-F. Lin and L.-G. Chen, “Extended intelligent edge based line average with its implementation and test method,” IEEE International Symposium on Circuits and Systems, Volume 2, pp. 341–344, May 2004.  M. Zhao and G. de Haan, “Intra-field de-interlacing with advanced up-scaling methods,” IEEE International Symposium on Consumer Electronics, pp. 315–319, September 2004.  D. Van De Ville, B. Rogge,W. Philips, and I. Lemahieu, “De-interlacing using fuzzy-based motion detection,” Third International Conference in Knowledge-Based Intelligent Information Engineering Systems, pp. 263–267, December 1999.  Dongil Han; Chang-Yong Shin; Seung-Jong Choi; Jong-Seok Park, “A motion adaptive 3-D de-interlacing algorithm based on the brightness profile pattern difference,” ICCE International Conference on Consumer Electronics ,pp.338-339, 1999.  J. Kovacevic, R. J. Safranek, and E. M. Yeh, “Deinterlacing by successive approximation,” IEEE Transactions on Image Processing, Volume 6, Issue 2, pp.339–344, February 1997.  Yeong-Taeg Kim Shin-Haeng Kim Se-Woong Park , “Motion decision feedback de-interlacing algorithms,” International Conference on Image Processing, Volume 3, pp.397–400, 2002.  Soon-kak Kwon; Kang-soo Seo; Jae-kyoon Kim, “A motion-adaptive de-interlacing method,” IEEE Transactions on Consumer Electronics, Volume 38, Issue 3, pp.145–150, August 1992.  B .Bhatt, F. Templin, B. Hogstrom, H. Derovanessian, S. Lamadrid, and J. Mailhot, “Grand-alliance HDTV multi-format scan converter,”IEEE Transactions on Consumer Electronics, Volume 41,Issue 4, pp. 1020-1031, November 1995.||摘要:||
Recently, the apparatus for displaying progressive images has been popular, the past CRT TV has been replaced with the advanced apparatus, such as LCD TVs; however, the software upgrades often lies behind the hardware. In order to let interlaced images be broadcasted on the advanced apparatus smoothly, in the industry or academia, lots of de-interlacing algorithms are presented. In these algorithms, there are complicated schemes and simple methods, and some of these algorithms can be easily realized with hardware. Even though these de-interlaced algorithms perform their own unique characteristics, the purpose is that interlaced images can be effectively and excellently viewed on advanced apparatuses.
In this thesis, a de-interlacing algorithm which uses hybrid and adaptive motion compensated scheme is proposed for the video post processing. For easy implementation, the methods which are simple to use are applied to design our de-interlacing algorithm, and we fetch advantages from the previous algorithms and improve the part which performs defects. For example, the three-field motion detection is generally used for the previous motion adaptive de-interlacing methods, and its great shortcoming is that the detection of the fast moving object usually causes lost pixels, and it makes the object unable to demonstrate the correct and sharp image. Thus, an improved three-field motion detection algorithm is developed. The purpose of the detection is to strengthen the accuracy and to judge whether the image moves or not, and the proposed detection does not need complicated operations.
In order to increase picture quality frequently, the motion compensated algorithms are used to look for the best block of interpolation, but it leads to consume a lot of system resources for using the motion estimator. Especially when the number of reference fields is large, the spent time is not directly proportional to the quality of de-interlaced images. Thus, we use the proportion concept to judge whether the matched block uses the motion estimator or not, and the purposes are to increase the efficiency and not to lose the picture quality.
Finally, we use a three-dimensional edge-based line average scheme for the non motion compensated parts. It performs good efficiency for the interpolation of edge lines and it is also simple and easy to realize. By jointly using these algorithms, not only the picture is apparent and sharp naturally, but also the proposed algorithm performs smoother sideline parts and has better efficiency than the algorithms with mere motion compensated scheme.
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