Multi Interface Real Time Video Processing System Based On FPGA

In the last century,since the digital image processing equipment is not widely used in China,the analog video interface image monitoring device is applied to the military at all times.The image resolution of analog video is low,the image contrast of analog video is weak and other questions,the analog image is blurred,it can not meet the video display and image processing,and it can not meet the equipment measurement accuracy.The digital image processing technology is used to design a multi-interface video processing system for the series of questions in the paper.The main function of system is meet the conversion of PAL/NTSC analog video imag, then gives the video image to the Camera Link interface,VGA video interface and PAL/NTSC video interfaces.In order to achieve the display quality of PAL / NTSC video,real-time video image enhancement processing is added, the image filtering,gray stretch transformation,pseudo-color processing and a series of digital image processing technology during the conversion process.In the system,FPGA chip as the main core,large-capacity static SRAM is used to implement the operation of the video image,the GM7113 C chip is selected for analog video A/D conversion, it is the production of Chengdu GUOTENG Electronic Technology Co., the CH7026 chip is selected to achieve PAL/NTSC video output.In the paper,real-time video image enhancement processing algorithms are studied,these algorithms include smoothing algorithm,gray transform algorithm and pseudo-color processing. The principles of each algorithmalgorithms are studied,then the software simulation results are given.In order to meet real-time requirements and run in FPGA,the traditional spatial enhancement algorithms are selected.After needs analysis, program design, unit design,image algorithm,PCB design and system debugging and so on,the display results are given of PAL/NTSC interface, VGA inteface and Camera Link interface.Based on subjective analysis,it has a slight loss of image detail after a median filter and average filter,but the image noise is removed,and the human visual effects have been satisfied. In order to find the maximum and minimum values of the image,histogram statistical method is proposed;in order to achieve the gray transformation of video image,linear stretch algorithm is employed;in order to achieve the pseudo-color processing of video image,the pseudo-color coded code table is used.The contrast of the video image is significantly enhanced,the expected display effect of pseudo-color is completed.