Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/8430
標題: 有效的混合式移動補償適應性視訊解交錯演算法設計與模擬
Efficient Hybrid Motion Compensated Adaptive De-interlacing Algorithm for Video Post Processing
作者: 李彥良
Lee, Yen-Liang
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: [1] Video Demystified,Fourth Edition by Keith Jack [2] http://aajulia.myweb.hinet.net/gogopage/ Premiere Pro 線上查閱 [3] http://zh.wikipedia.org 維基百科 [4] T.Doyle and M. Looymans, “Progressive scan conversion using edge information,”Signal Processing of HDTV II, pp.711-721.1990. [5] T.Koivunen,“Motion detection of an interlaced video signal,”IEEE Transactions on Consumer Electronics, Volume 40 ,Issue 3, pp.753-760, August 1994. [6] 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. [7] 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. [8] 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. [9] 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. [10] 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. [11] 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. [12] 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. [13] 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. [14] 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. [15] 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. [16] P. L. Swan, “Method and apparatus for providing interlaced video on a progressive display,” U.S. Patent 5864369, January 1999. [17] H. Jiang and C. Moloney, “A new direction adaptive scheme for image interpolation,” International Conference on Image Processing, Volume 3, pp. 369–372, 2002. [18] 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 [19] 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. [20] 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. [21] 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. [22] 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. [23] 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. [24] 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. [25] 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. [26] 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: 現今循序影像設備的普遍,以往的映像管電視漸漸也將被液晶電視等先進循序設備所取代,然而軟體更新的速度往往在於硬體之後。因此為了使舊時代的交錯影像也能順暢的在循序影像設備上播放,在業界或學術界提出許多解交錯演算法,其中有複雜的、有簡單的、也有許多應用於硬體上的演算法等。儘管各種演算法都有其特點,但目的都是為了能有效的且流暢的將交錯影像在循序影像設備上播放觀賞。 本論文內容為提出一個有效的混合式移動補償適應性視訊解交錯演算法。為了能使演算法易於實現,其中採用簡單且易於理解的方法,並各自取其優點來互相搭配組合,對於演算法本身缺陷的部分加以改良。例如在移動適應性演算法中使用了三張圖場的移動偵測演算法,其最大缺點在於偵測快速移動的物體會導致影像畫素遺失的缺點,使得快速移動的物體無法被解交錯出完整且正確的影像。於是這裡提出了改良式三張圖場的移動偵測演算法,目的是為了能加強判斷影像移動與否的準確度,且不需要複雜的運算。 往往為了增加畫面品質,使用移動補償演算法來尋找最佳的插補區塊,但必須消耗許多系統核心資源在移動估測方面,尤其在參考圖場越多的情況下,所耗的時間往往與插補出來的畫面品質不成正比。於是這裡使用了比例的概念來判斷匹配區塊是否使用移動估測來進行移動補償。目的不僅在增加演算法執行的效率,且插補出的畫面也不失去原本應有的水準。 最後在非移動補償的部分採用了三維邊緣線平均解交錯演算法。由於此演算法對於邊緣線的插補效能優異,且簡單易於實現,因此加入提出的演算中。在這三種演算法組合下,不僅使畫面顯得銳利自然,對於邊緣線部分也表現流暢許多,更在時間的分配與系統資源的使用上也比單純使用移動補償來的有效率。
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.
URI: http://hdl.handle.net/11455/8430
其他識別: U0005-0308200914053300
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0308200914053300
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