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

【摘要】：數(shù)字時代,社會的安全離不開監(jiān)控技術(shù)發(fā)展。無論是十字路口的電子眼還是校舍走廊中的監(jiān)控探頭,還是基地中的雷達設(shè)備,隨著設(shè)備精度的不斷提高,隨之而來的就是數(shù)據(jù)量的增加。這時,如果有一個壓縮率高,損失小或無損的高速壓縮算法加入系統(tǒng),將會極大減少系統(tǒng)中傳輸與存儲模塊的壓力。本文以壓縮算法為核心,主要圍繞有損壓縮的硬件化實現(xiàn)與嵌入式系統(tǒng)的無損壓縮展開論述,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研項目中無人機的視頻采集以及編碼模塊的硬件化實現(xiàn),包括CMOS攝像頭的視頻采集,VGA信號轉(zhuǎn)換與輸出,IMJPEG硬件化壓縮,上位機和與其通信的接口模塊設(shè)計。同時本文基于CMOS攝像頭的性質(zhì),提出了一種基于K-MEANS的圖像增強算法,用于增強采集到的圖像數(shù)據(jù),解決了在低照度環(huán)境下的圖像采集問題。2)雷達終端的嵌入式雷達視頻壓縮算法。本文也將壓縮算法運用在雷達終端的雷達視頻記錄上,由于雷達視頻要求精度高,所以采用了無損壓縮的LZW壓縮編碼方式。本文也提出了一種改進的LZW算法,在保證沒有誤編碼的前提下使用變長的字典編碼方式,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】：TN919.81

【參考文獻】

相關(guān)期刊論文 前7條

1 陳瑩;朱明;劉劍;李兆澤;;高斯混合模型自適應微光圖像增強[J];液晶與顯示;2015年02期

2 康高銘;;基于C語言的圖像壓縮算法[J];電腦知識與技術(shù);2014年34期

3 李大朋;曹國華;陳佶言;;基于STM32單片機驅(qū)動面陣CCD實時圖像顯示的研究[J];長春理工大學學報(自然科學版);2014年01期

4 曹軍峰;史加成;羅海波;常錚;惠斌;;采用聚類分割和直方圖均衡的圖像增強算法[J];紅外與激光工程;2012年12期

5 向厚振;張志杰;王鵬;;基于FPGA視頻和圖像處理系統(tǒng)的FIFO緩存技術(shù)[J];電視技術(shù);2012年09期

6 吳強;王新賽;賀明;王衛(wèi)平;李志軍;;一種結(jié)合小波分析與直方圖的紅外圖像增強方法[J];應用光學;2011年03期

7 陳錢,柏連發(fā),張保民;紅外圖像直方圖雙向均衡技術(shù)研究[J];紅外與毫米波學報;2003年06期

，

本文編號：1798456