發(fā)布時間：2018-06-28 14:13

  本文選題：歐拉視頻放大 + 空域分解　； 參考：《三峽大學》2016年碩士論文

【摘要】：微小運動放大技術是一種放大影像中肉眼不可見或難以察覺的微弱變化的技術,該技術在很多領域都有著潛在的應用價值。歐拉視頻放大技術是近年新提出的、非常有吸引力的微小運動放大技術,其核心包括空域分解、時域帶通濾波、運動放大以及重建等,現(xiàn)有的歐拉放大技術有線性歐拉視頻放大和相位歐拉視頻放大技術。本文對現(xiàn)有的歐拉視頻放大技術進行了深入的研究,并對其中的關鍵技術進行分析。針對現(xiàn)有的歐拉視頻放大方法計算量大,需要花費大量的時間對視頻進行處理的問題;以及現(xiàn)有的歐拉視頻放大方法對視頻圖像序列中的每一個像素點進行處理,放大后視頻的噪聲會隨著放大倍數(shù)的變大而增加,加上不能直觀地在視頻上選取感興趣區(qū)域的問題,本文提出了改進方案;最后將改進的方法應用于對實際的水電工程監(jiān)測。具體研究內容包括以下幾方面:1)本文首先對顏色空間的處理以及多分辨率分解方面進行了探討,提出了基于YIQ顏色空間中的Y通道進行運動放大處理的加速方法,從而減小計算量以達到提高算法速度的目的。實驗結果表明,該加速方法使得視頻的放大處理速度有了顯著性的改善。2)針對視頻的噪聲會隨著放大倍數(shù)的變大而增加,并且不能直觀地在視頻中選取感興趣區(qū)域的問題,本文提出通過前景檢測的方法將視頻包含運動信息的區(qū)域保留出來,再進行形態(tài)學濾波,最后進行運動放大處理與融合。對于運動區(qū)域的前景約束,本文比較了幾種前景檢測算法,最后選用檢測性能相對較好、并且與歐拉視頻放大方法同樣基于像素點的Vibe算法作為本文前景約束的方法。實驗表明,對于運動放大結果相對原圖像的峰值信噪比PSNR值,基于運動區(qū)域前景約束的方法比原始的歐拉視頻放大方法的要大,因此保真效果相對較好,并且改進的方法能夠針對性地對運動區(qū)域進行放大處理,不但提高了運動放大速度,而且使得被監(jiān)測目標更易凸顯出運動特征,以便于人們直接進行觀測。3)探討了將歐拉視頻放大技術引入對水電工程項目的監(jiān)測,為水電工程的智能監(jiān)測提供了一個全新的研究視角。首先,給出了監(jiān)測系統(tǒng)的組成框架,并進行了簡要的分析。其次,分析了數(shù)據(jù)采集的難度及其重要性,并對數(shù)據(jù)采集以及處理進行了簡要的分析。最后,將采集的數(shù)據(jù)進行試驗分析,分別探討了對普通橋梁、含拉索的大型橋梁受橫風影響或是車輛通過時的情況以及大壩建設和維護時監(jiān)測的結果,此外,對隔河巖大壩視頻進行試驗分析,并對試驗結果進行了一定的探討。試驗表明,通過歐拉視頻放大處理以后,可以明顯地觀察到橋梁、橋梁拉索、起重機以及大壩的運動情況,這對于輔助判斷出其形變特性,以便采取進一步的措施進行預警處理以及危險排除是非常有價值的,同時也為監(jiān)測目標的安全檢測提供了全新的參考依據(jù)。綜上所述,本論文系統(tǒng)地研究了歐拉視頻放大技術,分別提出了基于Y通道的加速方法和基于運動區(qū)域前景約束的運動放大方法。最后將歐拉視頻放大技術引入對水電工程項目的監(jiān)測,并進行了相應的試驗分析及討論。
[Abstract]:The technology of micro motion amplification is a technique which is not visible to the naked eye in the enlarged image. This technique has potential applications in many fields. Euler video amplification is a new and attractive micro motion amplification technology proposed in recent years. Its core includes space domain decomposition and time-domain bandpass filtering. The existing Euler amplification technologies are linear Euler video amplification and phase Euler video amplification. The existing Euler video amplification technology is studied in this paper, and the key technologies are analyzed in this paper. The existing Euler video amplification methods need to spend a large amount of time. The problem of video processing, and the existing Euler video amplification method to deal with each pixel in the video sequence, the noise of the video will increase with the enlargement of the magnification, and the problem of selecting the region of interest can not be intuitively selected in the video. The improvement scheme is proposed in this paper. Finally, the modified scheme will be modified. The proposed method is applied to the actual monitoring of the hydropower project. The specific research contents include the following aspects: 1) first, the paper discusses the processing of color space and the multiresolution decomposition, and puts forward the speed adding method based on the Y channel in the YIQ color space for motion amplification, thus reducing the amount of calculation to improve the calculation. The experimental results show that the acceleration method makes the speed of the video magnification improved.2.) the noise of the video will increase with the enlargement of the magnification, and can not directly select the region of interest in the video. This paper proposes that the video include the motion by the method of foreground detection. The region of the information is preserved, then the morphological filtering is carried out, and then the motion magnification processing and fusion are carried out. For the foreground constraint of the motion area, several foreground detection algorithms are compared. Finally, the detection performance is relatively better, and the Vibe algorithm based on the Euler video amplification method is based on the pixel point as the foreground constraint. The experiment shows that, for the peak signal to noise ratio (PSNR) value of the motion amplification result relative to the original image, the method based on the motion region foreground constraint is larger than the original Euler video amplification method, so the fidelity effect is relatively good, and the improved method can amplify the moving area and improve the movement. Large speed, and make the monitored target more easy to highlight the motion characteristics, in order to facilitate people to observe the.3 directly) to explore the introduction of Euler video amplification technology to the monitoring of hydropower projects, provide a new research perspective for the intelligent monitoring of hydropower projects. First, the framework of the monitoring system is given and the system is carried out. Secondly, the difficulty and importance of data acquisition are analyzed, and the data collection and processing are briefly analyzed. Finally, the collected data are tested and analyzed to discuss the effect of the cross wind on the common bridge, the large bridge with the cable, when the vehicle passes through, and the construction and maintenance of the dam. In addition, the video of the Geheyan dam is tested and analyzed, and the test results are discussed. The experiment shows that the movement of bridges, bridge cables, cranes and dams can be observed obviously after Euler video amplification, which can help judge its deformation characteristics so as to take the first step. The steps of early warning and danger removal are of great value. At the same time, it also provides a new reference for monitoring the safety of monitoring targets. In this paper, the Euler video amplification technology is systematically studied in this paper, and the acceleration method based on the Y channel and the movement generosity based on the motion region foreground constraints are proposed. Finally, Euler video amplification technology is introduced into the monitoring of hydropower projects, and corresponding experimental analysis and discussion are carried out.
【學位授予單位】：三峽大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TV698.1;TP391.41

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