A method and system for correcting infrared image non-uniformity based on averaging processing

Abstract

The invention discloses an infrared image heterogeneity correction method and system based on equalization processing, and belongs to the field of image processing. The method comprises the steps of obtaining an estimated image uk of a to-be-corrected image through employing a unidirectional total variation model; obtaining a mean value of the pixel bias in each row when the gain is 1 as a first bias estimation value when the gain in the corresponding row is 1; according to the estimated gain of each pixel, respectively taking the mean value of the pixel gains in each row as the gain estimation value of the corresponding row; obtaining the difference between the offset estimation value corresponding to the gain estimation value and the first offset estimation value to obtain a second offset estimation value corresponding to the gain estimation value; correcting the to-be-corrected image according to the gain estimation value and the second offset estimation value to obtain an estimatedimage u ''k; if the iteration termination condition is met, taking the estimated image u ''k as a final correction result; otherwise, updating the iteration parameters to start the next iteration. According to the invention, the non-uniform stripe noise of the infrared image can be suppressed, and the edge details of the image can be reserved as much as possible.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to a method and system for correcting infrared image non-uniformity based on averaging processing. Background technique [0002] Linear Scanning Infrared Imaging System (LSIR) plays an important role in both military and civilian fields. Its imaging model is g i,j =a i × u i,j +b i , where i and j represent the row number and column number of pixels in the image respectively, u and g represent the observed infrared image and the final image output by the imaging system, u i,j and g i,j Respectively represent the pixels located in the i-th row and j-th column in the corresponding image, a i and b i Denote the gain coefficient and offset of the i-th row imaging detector response characteristics, respectively. Due to the inhomogeneity of the response of each detector, that is, the difference in the gain and bias of the detector, the infrared image contains a fixe...

AI Technical Summary

Problems solved by technology

[0005] The one-way total variational model can effectively suppress the non-uniform band noise in the infrared image, but because it does not consider the constraints of the imaging model in the linear infrared scanning imaging system, it makes the non-uniform band noise in the infrared image suppressed at the same time Image detail along the scan direction is also removed, blurring the edges of the image

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