本文選題：電子穩(wěn)像 + 平移運動估計　； 參考：《哈爾濱工業(yè)大學》2017年碩士論文

【摘要】：電子穩(wěn)像依托于數字圖像處理技術來實現對視頻序列的去抖,以提高畫面的質量。該技術使用數字處理器來完成圖像的穩(wěn)定,可以充分利用現代大規(guī)模以及超過規(guī)模集成電路的優(yōu)勢將穩(wěn)像系統(tǒng)小型化和低功耗化。由于圖像數據量比較大,因此在計算時也就會消耗很多的時間,算法的計算速度和復雜度應該被著重考慮。本文從電子穩(wěn)像系統(tǒng)中圖像運動參數估計精度、算法計算復雜度以及在嵌入式平臺現場可編程門陣列(Field-Programmable Gate Array,FPGA)上實現為主要考慮點進行研究。本文首先介紹了電子穩(wěn)像系統(tǒng)的基本原理,將圖像的運動分為平移運動和旋轉運動分別進行研究。在圖像平移運動參數估計中,本文通過實驗分析了代表點匹配法、位平面法、灰度投影法和相位相關法的優(yōu)缺點,這些方法在參數估計精度、計算時間復雜度和抗干擾性方面無法同時得到很好的結果。本文對塊匹配法進行優(yōu)化,使其保留了參數估計精度高和抗小幅度旋轉優(yōu)勢的同時極大降低了運算量。其次,針對圖像復合運動參數估計對圓投影進行擴展得到基于模板濾波的圓環(huán)投影算法。當圖像的運動包含旋轉時使其像素相對位置發(fā)生了變化,文中選擇了具有旋轉不變特性的灰度直方圖和極坐標投影進行了實驗分析,并將圓投影進行了擴展得到基于模板濾波的圓環(huán)投影算法。該方法具有旋轉不變特性,而且計算時間復雜度也比前兩種方法大幅度下降。最后,本文設計并實現了電子穩(wěn)像硬件系統(tǒng)。硬件系統(tǒng)包含攝像機、圖像采集卡和顯示器。文中對圖像采集卡電路設計和Verilog程序設計進行了詳細的介紹,在FPGA上實現了SDI數據流解析、SSRAM讀寫控制、圖像運動參數估計、圖像運動參數濾波等功能模塊,并驗證了各模塊的正確性。在實際測試中,該電子穩(wěn)像硬件系統(tǒng)可以實現對分辨率為1080p,幀率為30fps的視頻進行實時穩(wěn)像。
[Abstract]:Electronic image stabilization is based on digital image processing technology to achieve video sequence shake, in order to improve the quality of the picture. The digital processor is used to stabilize the image, which can make full use of the advantages of modern large-scale and larger integrated circuits to miniaturize and reduce the power consumption of the image stabilization system. Because of the large amount of image data, the computational speed and complexity of the algorithm should be considered. In this paper, the estimation accuracy of image motion parameters, the computational complexity of the algorithm and the implementation on the field programmable gate array (Field-Programmable Gate ArrayFPGA) of an embedded platform are studied. In this paper, the basic principle of electronic image stabilization system is introduced, and the motion of image is divided into translation motion and rotation motion. In this paper, the advantages and disadvantages of the representative point matching method, bit plane method, gray projection method and phase correlation method are analyzed through experiments. The computational time complexity and anti-interference can not get good results at the same time. In this paper, the block matching method is optimized to keep the high precision of parameter estimation and the advantage of anti-rotation of small amplitude, at the same time greatly reducing the computational complexity. Secondly, the circular projection algorithm based on template filter is obtained by extending the circular projection based on image composite motion parameter estimation. When the motion of the image includes rotation, the relative position of the pixel changes. In this paper, the gray histogram and polar projection with rotation invariant property are selected for experimental analysis. The circular projection algorithm based on template filter is obtained by extending the circular projection. The method has the property of rotation invariance, and the computational time complexity is much lower than that of the former two methods. Finally, the hardware system of electronic image stabilization is designed and implemented. The hardware system includes a camera, an image capture card and a display. In this paper, the circuit design and Verilog program design of image acquisition card are introduced in detail. The function modules of SDI data stream parsing and reading and writing control, image motion parameter estimation, image motion parameter filtering and so on are implemented on FPGA. The correctness of each module is verified. In the actual test, the electronic image stabilization hardware system can achieve real-time image stabilization for video with a resolution of 1080p and frame rate of 30fps.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41

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本文編號：1840424