Adaptive infrared non-uniformity correction method based on motion state estimation

Abstract

The invention discloses an adaptive infrared non-uniformity correction method based on motion state estimation. Pre-correction: According to the motion parameters of the detector platform, estimate the image motion state of the current frame and the previous frame, and obtain the motion relationship of the specified position coordinates of the adjacent two frames of images; according to the motion relationship of the specified position coordinates of the adjacent two frames of images, obtain the current frame The pixel grayscale corresponding to all scenes in the previous frame; calculate the average value of the pixel grayscale of the current frame of the same scene and the pixel grayscale of the previous frame, and calculate the non-uniformity through the output value of the detector according to the preset filtering model The non-uniformity correction parameters; according to the non-uniformity correction parameters, the initial corrected image is re-corrected to obtain the final image. The invention can effectively improve the problems of time drift and temperature drift of the detector.

Description

technical field [0001] The invention relates to the technical field of non-uniformity correction, in particular to an adaptive infrared non-uniformity correction method based on motion state estimation, which is applied to an infrared imaging system. Background technique [0002] Infrared images are being used more and more widely and deeply in military, civil and medical fields. At the same time, people have higher and higher requirements for images in infrared imaging systems. Due to many uncontrollable factors and the limitations of the technological level, the non-uniformity of infrared images seriously affects the image quality and becomes a serious problem that limits the application of infrared detectors in all aspects. Therefore, for high-quality infrared imaging systems, non-uniformity correction technology is one of the most critical image processing technologies. [0003] In the prior art, calibration methods for infrared imaging detectors in China generally use...

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Problems solved by technology

[0003] In the prior art, calibration-based non-uniformity correction algorithms, such as two-point correction and segmental correction, are commonly used in domestic calibration methods for infrared imaging detectors. Such algorithms are simple in calculation and fast in correction speed, but require complicated Periodic calibration maintenance for calibration equipment is inconvenient and expensive

In the prior art, there are also scene-based non-uniformity correction methods such as time-domain high-pass filtering method, neural network method, and image registration method, but such methods have high algorithm complexity, poor real-time performance, ghost defects, and difficult engineering implementation

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