L1 norm total variation regularization heterogeneity correction method based on anisotropy

Abstract

The invention discloses an L1 norm total variation regularization heterogeneity correction method based on anisotropy. The method comprises the following steps that: establishing anisotropy total variation regularization model based on a single image, converting a problem of removing infrared image heterogeneity stripe noise into a minimized total variation problem, then, adopting a separated Bragg iteration method to carry out optimization to obtain an optimal solution, and taking a last iteration result as a corrected infrared image. The method has an innovation point that a traditional total variation model aims at a structural feature improvement equation that the horizontal direction total variation of heterogeneity stripe noise is far greater than vertical direction total variation,a regularized constraint based on the L1 norm can be used to enable the method to be suitable for the heterogeneity correction of the infrared image, the separated Bragg iteration method replaces a steepest gradient descent method to carry out the optimal processing of the equation, processing speed is greatly improved, and the edge information of an object is kept to a maximum degree.

Description

technical field [0001] The invention relates to a non-uniformity correction technology of an infrared video image, in particular to an anisotropy-based L1 norm full variation regularization non-uniformity correction method. Background technique [0002] Infrared focal plane array (IRFPA) is currently the most mainstream infrared detector and is widely used in various fields. However, due to factors such as manufacturing process and working environment, the responsivity of IRFPA's detector elements is inconsistent, which is manifested in the output image. The non-uniform fixed streak noise (NUC-FPN) seriously affects the image quality. [0003] At present, non-uniform correction (NUC) methods at home and abroad can be roughly divided into two categories: calibration-based methods and scene-based methods. Among them, the calibration-based method uses an infrared heat source with uniform temperature distribution (such as a black body) to calibrate the detector to solve the pro...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a non-uniformity correction method based on anisotropy-based L1 norm full variation regularization, which overcomes the slow speed of the traditional gradient descent method and enables it to meet the requirements of processing infrared video non-uniformity real-time requirements

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