發(fā)布時(shí)間：2018-04-24 22:06

  本文選題：FPGA + 圖像采集��； 參考：《南京理工大學(xué)》2017年碩士論文

【摘要】：數(shù)字時(shí)代,社會(huì)的安全離不開(kāi)監(jiān)控技術(shù)發(fā)展。無(wú)論是十字路口的電子眼還是校舍走廊中的監(jiān)控探頭,還是基地中的雷達(dá)設(shè)備,隨著設(shè)備精度的不斷提高,隨之而來(lái)的就是數(shù)據(jù)量的增加。這時(shí),如果有一個(gè)壓縮率高,損失小或無(wú)損的高速壓縮算法加入系統(tǒng),將會(huì)極大減少系統(tǒng)中傳輸與存儲(chǔ)模塊的壓力。本文以壓縮算法為核心,主要圍繞有損壓縮的硬件化實(shí)現(xiàn)與嵌入式系統(tǒng)的無(wú)損壓縮展開(kāi)論述,具體內(nèi)容包括:1)基于FPGA的MJPEG視頻采集壓縮模塊。本文主要研究了某預(yù)研項(xiàng)目中無(wú)人機(jī)的視頻采集以及編碼模塊的硬件化實(shí)現(xiàn),包括CMOS攝像頭的視頻采集,VGA信號(hào)轉(zhuǎn)換與輸出,IMJPEG硬件化壓縮,上位機(jī)和與其通信的接口模塊設(shè)計(jì)。同時(shí)本文基于CMOS攝像頭的性質(zhì),提出了一種基于K-MEANS的圖像增強(qiáng)算法,用于增強(qiáng)采集到的圖像數(shù)據(jù),解決了在低照度環(huán)境下的圖像采集問(wèn)題。2)雷達(dá)終端的嵌入式雷達(dá)視頻壓縮算法。本文也將壓縮算法運(yùn)用在雷達(dá)終端的雷達(dá)視頻記錄上,由于雷達(dá)視頻要求精度高,所以采用了無(wú)損壓縮的LZW壓縮編碼方式。本文也提出了一種改進(jìn)的LZW算法,在保證沒(méi)有誤編碼的前提下使用變長(zhǎng)的字典編碼方式,提升了壓縮率。
[Abstract]:In the digital age, social security can not be separated from the development of monitoring technology. Whether it is the electronic eye at the crossroads, the surveillance probe in the corridor of the school building, or the radar equipment in the base, with the continuous improvement of the precision of the equipment, the amount of data will increase. In this case, if a high-speed compression algorithm with high compression ratio and little or no loss is added to the system, the pressure of the transmission and storage modules in the system will be greatly reduced. This paper focuses on the compression algorithm and discusses the hardware implementation of lossy compression and the lossless compression of embedded system, including the MJPEG video capture and compression module based on FPGA. This paper mainly studies the hardware realization of video acquisition and coding module of UAV in a pre-research project, including the conversion of CMOS camera video acquisition and the hardware compression of output IMJPEG, the design of upper computer and interface module of communication with UAV. At the same time, based on the nature of CMOS camera, this paper proposes an image enhancement algorithm based on K-MEANS, which is used to enhance the collected image data. The problem of image acquisition in low illumination environment. 2) the embedded radar video compression algorithm of radar terminal is solved. In this paper, the compression algorithm is also applied to radar video recording at the radar terminal. Because of the high accuracy of radar video, lossless compression LZW compression coding method is adopted. In this paper, an improved LZW algorithm is also proposed, which can improve the compression ratio by using a variable length dictionary coding method without miscoding.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN919.81

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本文編號(hào)：1798456