A method for remove stripes from infrared image based on amplitude constraint

An infrared image and stripe removal technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor effect, inability to eliminate vertical stripe noise, strong image edge interference, etc. The method is simple and avoids edge Information is weakened, the effect of good edge effect

Active Publication Date: 2019-03-22
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The vertical stripe noise cannot be eliminated by the non-uniform correction algorithm; in the existing methods for infrared image stripe processing, the common ones are histogram technology

Method used

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  • A method for remove stripes from infrared image based on amplitude constraint
  • A method for remove stripes from infrared image based on amplitude constraint
  • A method for remove stripes from infrared image based on amplitude constraint

Examples

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Embodiment 1

[0034] A method for removing streaks from an infrared image based on amplitude constraints, comprising the following steps:

[0035] S1: Filter the original image along the row direction of the pixel array to obtain the low-frequency information of the original image; for example figure 1 as shown, figure 1 bit original image, after figure 1 The row direction is filtered to obtain the low-frequency information figure 2 ;

[0036] S2: Use the original image and low-frequency information to filter to obtain the high-frequency information of the original image; image 3 as shown, image 3 is the high-frequency information after filtering;

[0037] S3: Perform mean value processing on the high-frequency information along the column direction of the pixel array to obtain the stripe amplitude in the column direction, such as Figure 4 shown;

[0038] S4: Perform fringe filtering using the original image and the fringe amplitude of each column to obtain an image after the ...

Embodiment 2

[0046] In this embodiment, on the basis of the first embodiment, a constraint operation on high-frequency information is performed.

[0047]After analyzing the above method, we found that although the above method can retain edge information, when performing mean processing on high-frequency information, because in the high-frequency information image, the information contained in the image: most of it is noise, stripes ; a small amount of edge information. If the mean value algorithm is performed on all high-frequency information, the image stripes can be suppressed, but the edge information on the image will also be weakened, so the mean value of the stripes obtained by the mean value algorithm is reflected on the image, including image edge information that does not need to be suppressed and needs to be suppressed. Suppressed fringe information; in particular, in infrared images with strong edge information and more, the fringe value of the mean algorithm deviates from the ...

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Abstract

The invention discloses a method for removing stripes of an infrared image based on amplitude constraint, comprising the following steps: S1, filtering the original image along a row direction of a pixel array to obtain low-frequency information of the original image; S2, filtering the original image along a row direction of a pixel array to obtain low-frequency information of the original image;2, filtering that original image and the low-frequency information to obtain the high-frequency information of the original image; S3, averaging the high-frequency information along the column direction of the pixel array to obtain the fringe amplitude in the column direction; S4: taking The original image and the fringe amplitude of each column for fringe filtering to obtain the image after the fringe amplitude is suppressed.

Description

technical field [0001] The invention relates to the technical field of infrared image stripe processing, in particular to a method for removing stripes in infrared images based on amplitude constraints. Background technique [0002] Infrared sensors can convert infrared into electrical signals. Because different detectors respond differently to the same infrared radiation, the infrared image contains a lot of noise, which is called fixed pattern noise. Such noise can be suppressed by non-uniform correction algorithms. There is also a vertical stripe noise caused by the readout circuit that has a great impact on the visual effect of the image. The vertical stripes appear in the image as relatively fixed in position and intensity, and have certain stability in the column direction. The vertical stripe noise cannot be eliminated by the non-uniform correction algorithm; in the existing methods for infrared image stripe processing, the common ones are histogram technology and mul...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10048
Inventor 周云罗昕杰张熙冉祝威吕坚蒋亚东
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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