Software Design Of Shortwave Infrared Intelligent Photoelectric Imaging System Based On ZYNQ

As the degree of economic globalization continues to deepen,economic development is increasingly dependent on the development and utilization of the ocean,and photoelectric imaging systems are playing an increasingly important role in related fields of marine applications.The imaging mechanism of shortwave infrared is similar to that of visible light.The imaging is performed by detecting shortwave infrared light reflected by the object.The details of shortwave infrared imaging are richer,and it also has better smoke and fog effects and certain camouflage recognition capabilities.In the face of severe ocean weather,the use of short-wave infrared can overcome the ocean's prone to fogging and humid environment to a certain extent.Therefore,the application of shortwave infrared to intelligent photoelectric imaging systems can meet the needs of ocean exploration.The main work of this paper is to realize the application of short-wave infrared imaging technology in the photoelectric imaging system,and complete the entire short-wave infrared intelligent photoelectric system,so that it can meet the requirements of unmanned ocean detection.The main work of this paper is as follows:1)A ZYNQ-based image data transmission scheme is designed.Correction information is needed for shortwave infrared images to perform blind pixels and non-uniformity correction.This solution stores the correction information in the SD card,and the main control chip reads the correction information into the DDR memory and then transmits it to the blind element in synchronization with the image data.The performance correction module solves the problem that the amount of correction information data is too large to be stored on the FPGA.And at the same time it can meet the requirements of real-time image processing.2)The design has completed on-chip real-time image processing based on ZYNQ.Designed and completed the blind element and non-uniformity correction module and image enhancement module based on FPGA.In the blind element and non-uniformity correction module,the correction of the blind element adopts the selective median filtering algorithm,which can effectively correct the cross blind element.In the image enhancement module,a pipeline gray-scale statistical method based on dual-port memory is proposed,and the gray-scale distribution of the picture is expanded through the gray-scale statistical results.3)The design has completed the control function of the photoelectric imaging system.The serial communication function is designed,and on this basis,the serial communication protocol is designed to realize the control of the lens and the pan/tilt.The software and hardware cooperative characteristics of the ZYNQ chip are used to realize the control of real-time image processing functions.In order to ensure the normal exposure of the image,the automatic exposure function is implemented.The first step in the automatic exposure process is to obtain the image exposure,multiplexing the gray-scale statistical results in the image enhancement module,and the second step is to adjust the integration time,using the linear relationship between the gray-scale statistical results and the integration time to calculate the integration time Adjust the amount.