Infrared image stripe filtering method based on image laying

An infrared image and fringe filtering technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems of irregularity, random noise, and inaccurate estimation of the row mean, and achieve the effect of reducing the false positive rate.

Inactive Publication Date: 2016-09-21
JING LIN CHENGDU SCI & TECH
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Problems solved by technology

[0002] The traditional streak removal method is to estimate the noise-free row mean value based on the row mean value and variance. This method has a certain effect in dealing with general stripes, but the noise is random and irregular, and the image scene is very rich, and the row mean value cannot be accurately estimated.

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  • Infrared image stripe filtering method based on image laying

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[0018] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0019] Such as figure 1 As shown, the infrared image streak filtering method based on image layering includes the following steps:

[0020] S1. Divide the infrared image into a smooth layer image S and a noise layer image N.

[0021] In the step S1, an edge-preserving filter is used to divide the infrared image into a smooth layer image S and a noise layer image N.

[0022] S2. Apply one-dimensional local median filtering to each row of the noise layer image to obtain a preprocessed noise layer image N_O.

[0023] The expression of the noise layer image N_O of the preprocessing is:

[0024] N_O(x,y)=med(N(x-k:x+k,y))

[0025] In the formula, x represents the column coordinate, y represents the row coordinate, 2k+1 represents the window ...

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Abstract

The invention discloses an infrared image stripe filtering method based on image laying and the method comprises the following steps: 1) dividing an infrared image into a smooth layer image (S) and a noise layer image (N); 2) applying one-dimensional local median filtering to each row of the noise layer image to obtain a pre-processed noise layer image N_O; 3) calculating the average value avg_n1 of the rows in the pre-processed noise layer image N_O; and 4) removing the average value avg_n1 of the rows in the pre-processed noise layer image N_O from the infrared image. In the invention, an image is divided into a smooth layer image and a noise layer image, so that stripe noise is kept in the noise layer image, and only the noise layer image has to be processed, which means that even when the image changes, stripe noise can still be recognized, and that the noise layer image raises its success rate for judgment without introducing new noise.

Description

technical field [0001] The invention relates to the technical field of image filtering, in particular to an infrared image fringe filtering method based on image layering. Background technique [0002] The traditional streak removal method is to estimate the noise-free row mean based on the row mean and variance. This method is effective in dealing with general stripes, but the noise is random and irregular, and the image scene is very rich, so the row mean cannot be accurately estimated. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a method for infrared image streak filtering based on image layering, which divides the image into a smooth layer image and a noise layer image, and only processes the noise layer image, avoiding the image itself. Variation makes streak noise difficult to identify. [0004] The object of the present invention is achieved through the following technical solu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/00G06T5/002G06T2207/10048G06T2207/20032
Inventor 谢雪平曾衡东章睿董涛
Owner JING LIN CHENGDU SCI & TECH
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