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Infrared image heterogeneity correction method based on trilateral filtering and a neural network

A non-uniformity correction, infrared image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of destroying non-step edge detail information, multiple non-uniformity, image degradation, etc., to improve non-uniformity Correction effect, the effect of increasing the learning rate

Active Publication Date: 2019-05-10
XIDIAN UNIV
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Problems solved by technology

However, the traditional neural network correction algorithm has the problem of "ghosting" and image degradation
[0004] In order to solve these problems, Vera et al. proposed an adaptive step size algorithm (ALR) on the basis of NN-NUC, which can suppress part of the "ghost", but still has more non-uniformity; in order to better protect the edge Information, Rossi et al. used the bilateral filtering algorithm (BF-NN-NUC) to calculate the expected value, which improved the edge blur and "ghosting" problems to a certain extent, but would destroy the details of non-step edges; in order to make up for this shortcoming, Li Jia et al. used the trilateral filtering algorithm (TF-NN-NUC) to retain more detailed information, but the algorithm took a long time

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[0034] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] An embodiment of the present invention provides a method for correcting infrared image non-uniformity based on trilateral filtering and neural network, such as figure 1 As shown, the method is:

[0036] Step 1: Input all images of the original infrared image sequence;

[0037] specifically, figure 2In the embodiment of the present invention, the 500th frame has an original infrared image with non-uniformity; the sequence of original infrared images with non-uniformity has a total of 500 frames of images, and the size of each frame image is 320×256 pixels; from figure 2 It can be seen th...

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Abstract

The invention discloses an infrared image heterogeneity correction method based on trilateral filtering and a neural network. The original infrared image of the nth frame in the original infrared image sequence is sequentially loaded as the current frame image, and the corrected gray value of the i-th row and the j-th column of the current frame image is determined, and the n-th frame of infraredimage processingis original through the fast three-edge filtering algorithm; the expected value qn(x) of the pixel x is obtained according to the deviation between the expected value of the i-th row j-th column pixel x of the current frame image and the corrected gray value of the i-th row j-th column pixel, the adaptive iterative step size is updated to obtain the n+1th frame of the original infrared image, the pixel gain parameter and the pixel offset parameter of the corresponding position of the pixel in the i-th row and the j-th column, the original infrared image of the n+1th frame is corrected by the pixel gain parameter and the pixel offset parameter. According to the method, the learning rate of parameters can be improved, and the non-uniformity correction effect of the image canbe improved.

Description

technical field [0001] The invention belongs to the field of infrared image processing, and in particular relates to an infrared image non-uniformity correction method based on a trilateral filter and a neural network. Background technique [0002] As the core component of the infrared imaging system, due to the limitations of manufacturing level and device materials, each pixel of the detector cannot ideally output exactly the same response value under the same irradiance. It is called the non-uniformity of the infrared image. Since the non-uniformity of infrared images is manifested as fixed pattern noise on the image, which seriously affects the quality of infrared images, it is necessary to study the non-uniformity correction algorithm of infrared images. [0003] At present, many scholars have conducted in-depth research on non-uniformity correction technology, and proposed a variety of non-uniformity correction algorithms, which can be mainly divided into two categori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCY02P70/50
Inventor 周慧鑫侯俊涛赵东张嘉嘉李欢宋江鲁奇秦翰林成宽洪向培谭威宋尚真杜娟钱琨张喆黄楙森
Owner XIDIAN UNIV
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