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標題: 基於低複雜度內插之新型移動適應性視訊解交錯演算法設計與實作
Novel LCI-based Motion Adaptive De-interlace Technology for Video Post-processing
作者: 何恭政
He, Gong-Zheng
關鍵字: De-interlace;解交錯
出版社: 電機工程學系所
引用: 英文參考文獻: [1] Shyh-Feng, Yu-Ling Chang, and Liang-Gee Chen, “Motion Adaptive Interpolation with Horizontal Motion Detection for Deinterlacing”, IEEE Transactions on Consumer Electronics.Volume 49, Issue 4, pp. 1256 – 1265, Nov. 2003. [2] Yang Yuhong, Chen Yingqi, and Zhang Wenjun, “Motion Adaptive Deinterlacing Combining with Texture Detection and Its FPGA Implementation”, Proceeding of 2005 IEEE International Workshop on VLSI Design and Video Technology, pp. 316-319, May . 2005. [3] Yung Yuhong, Chen Yingqi, Zhung Wenjun ,”Motion adaptive deinterlacing combining with texture detection and its FPGA implementation” , Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, pp. 316 – 319, 28-30, May. 2005. [4] Yanfei Shen, Dongming Zhang, Yongdong Zhang and Jintao Li, Member IEEE, “Motion Adaptive Deinterlacing of Video Data with Texture Detection“ , Proceedings of the 2004 International Symposium on Circuits and Systems, Volume 2, pp. II - 213-16 , 23-26, May. 2004. [5] Ching-Ting Hsu, Mei-Juan Chen and Chin-Hui Huang Department of Electrical Engineering National Dong Hwa University, Taiwan ”High Performance Spatial -Temporal De-interlacing Technique Using Interfield Information” IEEE Trans. on Consumer Electronics, Volume 2, Page, Nov. 2004. [6] 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 Elec., Volume 46, Issue 4, pp. 999-1006, Nov. 2000. [7] Hossein Mahvash Mohammadi, Pierre Langlois, and Yvon Savaria “A Five-Field Motion Compensated Deinterlacing Method Based on Vertical Motion“, IEEE Transactions on Consumer Electronics, Volume 53, Issue3, pp. 1117 – 1124 , Aug. 2007. [8] Pei-YinCHEN ,Memberand Yao-HsienLAI , Nonmember ”A Low-Complexity Interpolation Method for Deinterlacing”, Transactions on Information and Systems archive Volume E90-D,Issue 2 table of contents, pp. 606-608, February. 2007. [9] S. C. Tai, C. S. Yu, and F. J. Chang Department of Electronic Engineering, National Cheng Kung Universiq, Taiwan, R.0.C “A Motion and Edge Adaptive Deinterlacing Algorithm” IEEE International Conference on Multimedia and Expo.Volume 1, pp.659 - 662 , 30-30, June. 2004. [10] P. Brox, I. Baturone, S. Sanchez-Solano” Interlaced to progressive scan conversion Using fuzzy edge-based line average algorithm” , IEEE International Workshop on Intelligent Signal Processing,1-3 Sept. pp.10 – 15, 2005. [11] Kenju Sugiyama and Hiroya Nakamura, “A Method of Deinterlacing with Motion Compensated Interpolation”, IEEE Trans Consumer Elec , Volume 45, no.3, pp.611-616, August. 1999. [12] Kefei Ouyang , Guobin Shen , Shipeng Li , Ming Gu “Advanced Motion Search and Adaptation Techniques for Deinterlacing” IEEE International Conference on Multimedia and Expo,6-6 , pp:374 – 377, July. 2005. [13] KenjiSugiyama Yoshiyuki Yamada Naoya Sagara ”Improvement of Motion Compensated Inter-Field Interpolation Method for De-Interlacing” IEEE Region 10 Conference, pp.1 – 4, Nov. 2006. [14] Yu-LinChang,Ping-HaoWu,Shyh-FengLin,andLiang-GeeChen”Four field local motion compensated de-interlacing” , IEEE International Conference on Acoustics, Speech, and Signal Processing Volume 5 , pp: V - 253-6, 17-21 May. 2004. [15] Gwo Giun Lee, Hsin-Te Li,Ming-Jiun Wang, and He-Yuan Lin “Motion Adaptive Deinterlacing via Edge Pattern Recognition” IEEE International Symposium on Circuits and Systems, pp.2662 – 2665, 27-30 May. 2007. [16] Hoon Yo and Jechang Jeong “Direction oriented interpolation and its application to de-interlacing”,IEEE Transactions on Consumer Electronics, Volume.48, No. 4, Nov. 2002. [17] Min Kyu Park, Moon Gi Kang, Kichul Nam, and Sang Gun Oh “New edge dependent deinterlacing algorithm based on horizontal edge pattern” IEEE Transactions on Consumer Electronics, Volume. 49, No. 4, Nov. 2003. 中文參考文獻: [18] 北瀚科技股份有限公司SMIMS Engine Software Development Kits User Guide VeriLite USB V2 Version 2007.8. [19]夏湘玲 ”Motion and Pattern De-interlace Algorithm” 中原大學論文 2005.7. 參考網頁: [20] [21] [22]

In recent years, people have paid much attention for requirements of better video quality. Since the popularity of flat-panel displays are growing, de-interlacing processing has become a very important technology. In Taiwan, the television programs are still broadcasted with the NTSC interlaced format currently. To let interlaced videos be displayed on the progressive-scan flat-panel displays and get better video quality, we must rely on de-interlacing technologies for video post-processing.
Novel low complexity interpolation (LCI)-based motion adaptive de-interlace technology is proposed for video post-processing. The proposed algorithm uses a new motion adaptive algorithm. In the proposed 4-field motion detection, the proposed detection method improves the shortcoming of the previous detection method. Besides the improvement of the motion detection method, we also classify video data into three parts, which are static, uncertain, and dynamic parts. By using the three-part classification, the video properties can be separated more obviously than the two-part processing algorithms, which only use the partition of static and dynamic parts. Except the static parts are de-interlaced with average interpolation, uncertain and dynamic parts are de-interlaced with the algorithms, which are based on low complexity interpolation. For dynamic parts, we want to expand the detection range, so we develop the LCI method with expansion detection. For uncertain parts, we want to refer the temporal de-interlacing and spatial de-interlacing methods, so we develop the proposed 3D-Median LCI method.
In this thesis, we propose the de-interlacing algorithm which does not use the motion compensation method and the mask scan method, and the proposed method saves computing capacity to achieve high-quality post-processing video as far as it can. Finally, for functional verification with FPGA, we use the SMIMSTM FPGA platform through the Xilinx-ISE software tools for hardware design, and the hardware part uses 297 FPGA slices.
其他識別: U0005-1507200815382900
Appears in Collections:電機工程學系所

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