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  本文選題：紅外成像 + FPGA��； 參考：《南京理工大學》2017年碩士論文

【摘要】：紅外與可見光圖像融合技術能夠提取不同波段圖像的特征,有效地提高了目標探測的空間范圍和探測概率,增強人們在探測或者檢測領域對圖像的認知和理解能力。因此,在軍用和民用領域該技術都受到了廣泛關注。本文以研制紅外與可見光的圖像融合系統(tǒng)為核心,對紅外與可見光成像原理,圖像融合算法,融合系統(tǒng)設計展開了相關研究。在圖像的預處理方面,本文提出了一種混合域算法,滿足了對運動目標的觀察要求的同時,提高了降噪效果,增強了目標的邊緣細節(jié)。在圖像融合算法方面,考慮到人眼視覺觀察的特點,本文提出了一種基于人眼視覺顯著性的多尺度融合算法,本方法對于金字塔分解得到的高頻和低頻圖像分別采用不同的融合算法進行融合計算,然后經(jīng)過逆變換得到重構圖像。算法的核心是利用人眼視覺特性,突出源圖像中人眼視覺顯著性較強的區(qū)域。通過與多種融合算法進行對比,證明了本文提出算法的有效性。本文基于融合系統(tǒng)的功能需求,設計了基于紅外與可見光實時圖像融合系統(tǒng)方案,完成了芯片選型,以及融合電路原理圖的制作。本文對于系統(tǒng)電路的主要功能模塊,包括,模擬視頻解碼芯片電路、模擬/數(shù)字視頻編碼模塊、存儲電路模塊、FPGA外圍配置模塊以及電源設計模塊做了詳細的介紹。接著在原理圖基礎上完成了 PCB的布局布線,設計出系統(tǒng)PCB版圖。并設計圖像融合系統(tǒng)的軟件模塊劃分,主要分為視頻編解碼模塊、數(shù)據(jù)存儲模塊、圖像處理模塊。最后,完成了圖像融合系統(tǒng)的實驗分析,驗證了系統(tǒng)的融合效果。
[Abstract]:Infrared and visible image fusion technology can extract the features of different bands of images, effectively improve the spatial range and detection probability of target detection, and enhance the ability of recognition and understanding of images in the field of detection or detection. Therefore, in the military and civil fields, the technology has been widely concerned. In this paper, the image fusion system of infrared and visible light is developed as the core. The principle of infrared and visible light imaging, the image fusion algorithm and the design of fusion system are studied. In the aspect of image preprocessing, a hybrid domain algorithm is proposed, which not only meets the requirements of moving target observation, but also improves the noise reduction effect and enhances the edge detail of the target. In the aspect of image fusion algorithm, considering the characteristics of human visual observation, a multi-scale fusion algorithm based on the salience of human vision is proposed in this paper. In this method, different fusion algorithms are used to calculate the high frequency and low frequency images obtained from pyramid decomposition, and then the reconstructed images are obtained by inverse transformation. The core of the algorithm is to make use of the human visual characteristics to highlight the region with strong visual significance in the source image. The effectiveness of the proposed algorithm is proved by comparison with many fusion algorithms. Based on the functional requirements of the fusion system, this paper designs a real-time image fusion system based on infrared and visible light, completes the chip selection, and makes the schematic diagram of the fusion circuit. In this paper, the main function modules of the system circuit, including analog video decoding chip circuit, analog / digital video coding module, memory circuit module and FPGA peripheral configuration module, as well as power design module, are introduced in detail. Then, the layout and wiring of PCB are completed on the basis of schematic diagram, and the PCB layout of the system is designed. The software module of image fusion system is divided into video codec module, data storage module and image processing module. Finally, the experimental analysis of the image fusion system is completed, and the fusion effect of the system is verified.
【學位授予單位】：南京理工大學
【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：1919230