Real-time infrared image processing system suitable for high frame rate and large array infrared detector

Abstract

The invention discloses a real-time infrared image processing system suitable for a high frame rate and large array infrared detector, which is characterized in that a signal conditioning module is used for providing bias voltage drive to the infrared detector and conditioning the analog video image signal output by the infrared detector and outputting the conditioned analog video image signal to an analog-to-digital converting module; the analog-to-digital converting module is used for converting the conditioned analog video image signal to the digital video image signal and outputting the digital video image signal to a video image processing and system control module; the video image processing and system control module is used for controlling the infrared detector and carrying out image processing on the digital video image signal and outputting the digital video image signal after image processing; and a video output module is used for converting the processed data to the analog video signal and the digital video signal and outputting the signals. In the system, all the image processing algorithms are implemented by the hardware pipeline and the system has strong processing capacity, high speed, strong expansibility, small whole volume and low energy consumption and is suitable for real-time high frame rate and large array infrared detection occasions.

Description

Technical field: [0001] The invention belongs to the field of real-time infrared image processing, in particular to a real-time infrared image processing system based on a single field programmable gate array FPGA, which is suitable for a high frame rate large area array infrared detector. Background technique: [0002] In 1964, the advent of the Forward Looking Infrared System (FLIR) of Texas Instruments (TI) marked the arrival of the infrared imaging era. The infrared imaging system has strong anti-interference ability, good concealment performance, strong atmospheric penetration ability, and is suitable for many special occasions. However, due to its own characteristics and process limitations, the infrared focal plane has many differences between infrared image processing and ordinary CCD image processing, and special infrared image processing algorithms must be used to process it. For example, due to the defects of the production materials, the non-uniformity of doping...

AI Technical Summary

Problems solved by technology

However, if the processing unit is added, it will cause the disadvantages of larger system volume, increased power consumption, and large heat generation, which is not suitable for practical applications.

At the same time, due to the immaturity of the infrared focal plane market, the interface timing of the infrared focal plane has not formed a unified standard, so the single-signal processor DSP architecture that cannot easily provide various interface timings cannot well adapt to various infrared focal planes.

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