采用DM3730的高清视频采集与处理系统研究
[Abstract]:Video technology is more and more widely used in security surveillance, health care, video communication and other fields, and high-definition video application is the focus of development at present and in the future. The definition of the image is measured by the resolution of the image, the greater the resolution, the clearer the image means the larger the video data per frame, but at present most video applications on the market do not have the ability to capture and process high-definition video. One of the main reasons is that the previous embedded processors can not process high-definition video data. The technical bottleneck of this hardware hinders the development of embedded high-definition intelligent video processing system in medical, monitoring and other industries. Based on this background, this paper presents an embedded high-definition video acquisition and processing system with intelligent image processing function. In this paper, the present situation of video capture system is analyzed, and the overall design scheme of embedded high-definition video acquisition and processing system with intelligent image processing function is put forward based on the comparison of the advantages and disadvantages of the existing system. The detailed implementation process around this scheme is described in detail, which mainly includes the following: 1. System hardware design. Mainly including video capture, processor, power supply, USB, serial port, ISP,MMC,HDMI module circuit schematic design. 2. Embedded Linux software development platform. It includes kernel tailoring and porting, cross-compiling environment, BootLoader compiling and porting, file system making and so on. 3. The design of system software. Including video driver design and configuration, acquisition program design and image enhancement, edge detection, face tracking and other video processing algorithms. 4. QT interface design and OSD function realization. In general, the high-definition video capture and processing system in this paper can meet the requirements of 720p/30f, and in theory it can reach 720p / 60f. Support video image edge detection, image enhancement, face tracking, negative video processing functions and human-computer interface. The system has wide application prospects in medical image processing, security monitoring and other fields.
【学位授予单位】:苏州大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:TP368.1;TP274.2
【参考文献】
相关期刊论文 前6条
1 张贻雄;刘鹏;王维东;姚庆栋;俞国军;;一种基于像素自适应仲裁的OSD分层混合结构设计[J];电路与系统学报;2008年04期
2 杨延军;用busybox制作嵌入式Linux的文件系统[J];单片机与嵌入式系统应用;2005年04期
3 毛晓东;樊亚文;;高清视频监控技术在城市公共安全中的应用[J];电视技术;2010年04期
4 郝亚茹;王瑞光;郑喜凤;;TFP410在数字视频接口中的应用[J];电子器件;2007年01期
5 董志国;李式巨;;嵌入式Linux设备驱动程序开发[J];计算机工程与设计;2006年20期
6 王凯;王玉玫;;嵌入式系统图形处理平台设计与实现[J];计算机工程与设计;2007年16期
相关硕士学位论文 前10条
1 李涛;基于ARM的USB视频采集系统研究[D];燕山大学;2011年
2 张雪;嵌入式人脸检测与跟踪系统的设计与实现[D];东北师范大学;2011年
3 马兰;高清数字视频处理平台软硬件设计[D];电子科技大学;2011年
4 牛超;高清图像采集处理技术研究[D];西安工业大学;2012年
5 张忠;Adaboost人脸检测算法在嵌入式平台上的实现与研究[D];上海交通大学;2008年
6 梁广俊;基于TMS320DM355的新型架构的高分辨率数字视频展台的系统设计[D];太原理工大学;2008年
7 朱健琪;基于Linux操作系统的智能仪器软件设计[D];天津大学;2007年
8 张利苹;人脸检测与跟踪系统研究[D];西安电子科技大学;2009年
9 何景波;基于Linux的嵌入式应用系统技术研究[D];中北大学;2009年
10 周民军;基于ARM9的嵌入式操作系统的设备驱动设计[D];武汉理工大学;2010年
本文编号:2447129
本文链接:https://www.wllwen.com/kejilunwen/jisuanjikexuelunwen/2447129.html