Variable integral time non-uniformity correction method based on scenes

Abstract

The invention discloses a variable integral time non-uniformity correction method based on scenes. The method comprises calculating row projection vectors and column projection vectors of background images of a detector under different integral conditions firstly, storing the background row and column projection vectors, and then forming a lookup table. When the detector shoot an image at the different scenes, in order to determine best integral time of the detector, the row and column projection vectors of the image are calculated firstly, related operation respectively between the row and column projection vectors and the background row and column vectors in the lookup table are performed, the most relevant background of the image is found, and the best integral time of the detector is determined through the background. Innovation points of the method are in that the best integral time of the detector in the different scenes can be found, the image obtained under the best integral condition is in favor of subsequent image registration, registration precision is improved, and then the method has the good non-uniformity correction effect.

Description

Technical field: [0001] The invention relates to the field of non-uniformity correction of infrared images, in particular to a scene-based non-uniformity correction method of variable integration time. Background technique: [0002] In the field of infrared imaging, infrared focal plane array has become the development trend of infrared imaging technology. However, due to the limitation of the manufacturing process, the infrared focal plane array has a lot of non-uniformity and the dynamic range of imaging is small. The dynamic range characterizes the range in which the infrared system can detect the size of infrared radiation. With a wider dynamic range, more target information can be obtained, which is beneficial to the analysis and identification of the target. [0003] At present, the widening of the dynamic range of the infrared focal plane array imaging system is mainly realized by adjusting the integration time, but with the change of the integration time, the non-un...

AI Technical Summary

Problems solved by technology

The time-domain high-pass filter method suppresses the influence of low-frequency noise on the non-uniformity of the image, overcomes the problem of large storage capacity based on reference element correction, but also requires a good linearity in the detector response rate

The artificial neural network method is to connect each neuron to an array element, and then design a hidden layer. Each neuron of it is connected to several adjacent array elements like a horizontal cell element, and their average output value is obtained. Feedback to its upper neurons to calculate the non-uniformity, using the steepest descent method to iterate frame by frame according to the actual scene until reaching the best state, this method does not require high linearity and stability of the detector parameters, but the research workload Large, the amount of calculation is large when applied, and a special parallel computer structure is required to realize

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