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Non-uniformity Correction Method Based on Anisotropy with Total Variational Regularization of l1 Norm

A non-uniformity correction, L1 norm technology, applied in image analysis, image data processing, image enhancement and other directions, can solve the problem of slow gradient descent method, achieve fast processing speed, improve quality, and meet real-time requirements. Effect

Active Publication Date: 2021-09-21
NANJING UNIV OF SCI & TECH
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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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  • Non-uniformity Correction Method Based on Anisotropy with Total Variational Regularization of l1 Norm
  • Non-uniformity Correction Method Based on Anisotropy with Total Variational Regularization of l1 Norm
  • Non-uniformity Correction Method Based on Anisotropy with Total Variational Regularization of l1 Norm

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Embodiment 1

[0067] Will figure 2 Figure (a) in the figure is used as an infrared image f(i, j) that contains non-uniform noise, and is corrected using the anisotropic L1 norm full variation regularization non-uniformity correction method based on the present invention. , get as figure 2 The non-uniformity-removed image u shown in (b) final .

[0068] combine figure 2 , the present invention can denoise the non-uniform fringe noise of a single-frame infrared image without pre-calibration, while effectively removing the fixed fringe noise of the image, it retains the detail information of the image to the greatest extent and improves the image quality. Quality, has the advantages of strong pertinence, good non-uniform noise removal effect, and fast processing speed, which can meet the real-time requirements of video processing.

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Abstract

The invention discloses an anisotropy-based L1 norm full variation regularization non-uniformity correction method. By establishing an anisotropic full-variation regularization model based on a single image, the infrared image non-uniformity can be removed. The problem of streak noise is transformed into a minimization total variation problem, and then the separated Bragman iterative method is used for optimization to obtain the optimal solution, and the result of the last iteration is the corrected infrared image. The innovation point of the present invention is to improve the equation of the traditional full variation model for the structural characteristics of the non-uniform stripe noise whose total variation in the horizontal direction is much larger than the total variation in the vertical direction, and use regular constraints based on the L1 norm to make it applicable to Infrared image non-uniformity correction, the separation Bragman method is used instead of the steepest gradient descent method for equation optimization processing, which greatly improves the processing speed and retains the edge information of the object to the greatest extent.

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10048G06T2207/10016G06T5/70
Inventor 顾国华张业伟隋修宝潘科辰陈钱刘源高航匡小冬杨成章吴少迟
Owner NANJING UNIV OF SCI & TECH
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