| The growing maturity of infrared focal plane arrays and advancements in image processing technology have led to the extensive application of infrared imaging technology in diverse fields,including military,security,medical,and environmental protection.Infrared images often suffer from severe noise,low contrast,and insufficient resolution due to deficiencies in the manufacturing process,transportation,and storage of infrared focal plane arrays,as well as the impact of the working environment.This underscores the importance of research in infrared image processing.This thesis utilizes high-resolution infrared detectors to collect real infrared images and employ MATLAB software to model various image processing algorithms,comparing their effectiveness.An infrared image processing system hardware platform is constructed based on the algorithm processing flow,with the algorithm implemented through Field Programmable Gate Arrays(FPGA).This thesis also addresses the non-uniformity vertical stripes and noise issues in infrared images by modeling single-frame non-uniformity correction algorithms and image denoising algorithms.Real infrared images collected by the system are used to compare the processing effects of different algorithms.Gamma correction is adopted to enhance image contrast without distortion,while pseudocolor transformation is applied to improve the human eye’s ability to resolve images.Objective image quality evaluation metrics and subjective perception are employed to compare the processed images,showing a 73.5%increase in average gray level and a 2.6% increase in standard deviation.The overall brightness and contrast of the images are significantly improved.In addition,this thesis designs a hardware platform for the image processing algorithm flow,comprising main modules such as power supply circuits,clock circuits,memory circuits,FPGA configuration circuits,image output circuits,detector interface circuits,and serial port circuits.It also provide an overview of the fundamentals and guidelines for Printed Circuit Board(PCB)design,analyzing the considerations of relevant theories in the PCB design of this system.Finally,this thesis focuses on the key modules in the image processing algorithms employed by the system,designing them using FPGA logic and performing simulation verification to ensure their proper functioning.It introduces the interface signals and logic implementation schemes for each module,providing a comprehensive understanding of the system architecture.In conclusion,this thesis contributes to the development of advanced infrared image processing techniques and their hardware implementation,demonstrating significant improvements in image quality and paving the way for further advancements in the field of infrared imaging technology. |