解交錯影像是現今電視系統中一個相當重要的話題，交錯式影像可以有效的節省傳輸時的頻寬，考量到應用層面的即時性與硬體成本，一個簡單且高效能的解交錯演算法是非常必要的。在本論文中，我們提出了一個新的影像回復技術，可以保留影像邊緣的特性。我們的演算法利用了移動偵測器，辨識出連續畫面間的圖像在相鄰區域中的移動方向；並且使用換場偵測器來判讀畫面是否有大幅度的變動。依照上述的偵測結果，選擇空間或時間上的影像資訊來做插補，回復遺失的像素。根據實驗結果顯示，本論文所提出的方法在實驗數據與視覺效果上都較以往的技術來的優異。
在硬體實作上，我們使用Verilog硬體描述語言實現VLSI電路，整個系統採取管線化設計，大幅提升執行速度。在SYNOPSYS的Design Vision和TSMC 0.13 μm製程下的合成結果，電路的邏輯閘數為13.3K，時脈周期為5ns，工作時脈可達到200MHz。

De-interlacing is a very important issue in the field of television systems nowadays. The interlaced video is used to reduce the broadcasting bandwidth. For real-time design and hardware cost, a simple and efficient de-interlacing technique is necessary.
This paper presents a novel edge-preserving image restoring technique for interlaced video. We utilize a motion-degree detector to determine motion direction of block between the adjacent images and a scene-change detector to estimate if the main body of block moves wildly. According to detection results, we choose temporal interpolation or spatial interpolation method to restore the missing pixels. Experiment results show that the data analysis and visual effects are better than other algorithm before.
Our technique is implemented with VLSI architecture by using Verilog HDL. The system is designed with pipeline architectures to achieve better performance. We used SYNOPSYS Design Vision to synthesize the design with TSMC 0.13μm cell library. Synthesis results show that our design contains 13.3K gate counts. It operates with a clock period of 5 ns and operates at a clock rate of 200 MHz.

[1]Jin-Ho Kim, Byong-Deok Choi, and Oh-Kyong Kwon, “1-billion-color TFT LCD TV with full HD format,” IEEE Transactions on Consumer Electronics, Vol. 51, No. 4, Nov. 2005, pp. 1042-1050.

[2]R. S. Prodan, “Multidimensional Digital Signal Processing for Television Scan Conversion,” Phillips Journal of Research 41, 1986, pp. 576-603.

[3]E.B. Bellers and G. de Haan, “Advanced de-interlacing techniques,” in Proc. ProRISC/IEEE Workshop on Circuits, Systems and Signal Processing, Mierlo, The Netherlands, Nov. 1996, pp.7-17.

[4]T. Doyle, ‘‘Interlaced to Sequential Conversion for EDTV Applications,’’ Proc. 2nd Int. Workshop on Signal Processing of HDTV, Feb. 1988, pp. 412-430.

[5]Mei-Juan Chen, Chin-Hui Huang, and Ching-Ting Hsu, ‘‘Efficient De-interlacing Technique by Inter-field Information,” IEEE Transactions on Consumer Electronics, Vol. 50, No. 4, Nov. 2004, pp. 1202-1208.

[6]Gwo-Long Li and Mei-Juan Chen, ‘‘High Performance De-Interlacing Algorithm for Digital Television Displays,” Journal of display technology, Vol. 2, No. 1, Mar. 2006 , pp. 85-90 .

[7]Chung-chi Lin, Ming-hwa Sheu, Huann-keng Chiang,Chih-Jen Wei, and Chishyan Liaw, ‘‘A High-Performance Architecture of Motion Adaptive De-interlacing with Reliable Interfield Information,” IEICE Transactions on Fundamentals of Electronics, Vol. E90–A, No. 11 Nov. 2007, pp. 2575-2583.

[8]Shyh-Feng Lin, Yu-Ling Chang, and Liang-Gee Chen, “Motion Adaptive Interpolation with Horizontal Motion Detection for Deinterlacing,” IEEE Transactions on Consumer Electronics, Vol. 49, No. 4, Nov. 2003, pp. 1256-1265.

[9]Hyo-Sub Oh, Yoon Kim, You-Young Jung, Aldo W. Morales, and Sung-Jea Ko, “Spatio-temporal edge-based median filtering for deinterlacing,” IEEE International Conference on Consumer Electronics, 2000, pp. 52-53.

[10]YUV Video Sequences：http://trace.eas.asu.edu/yuv/index.html