A Method of Eliminating Streak Noise in Infrared Image

A stripe noise, infrared image technology, applied in the field of image processing, can solve the problems of high image space redundancy, low-rank constraints are not very effective, and the process of solving low-rank constraints is complicated, so as to eliminate stripe noise and reduce computational complexity. degree of effect

Active Publication Date: 2022-04-29
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

When different columns of pixels in the focal plane array read out different column channels in the circuit, they are affected by time drift / temperature drift, and the amplifiers in each column channel have different noise characteristics, resulting in a large number of generated infrared images. Stripe noise. Stripe noise has the characteristics that the noise intensity on each column is roughly the same, but the noise intensity is different between different columns. The traditional filter denoising algorithm cannot grasp this feature well.
In the document "Chang Y, Yan L, Zhong S.Transformed Low-Rank Model for Line Pattern Noise Removal[C] / / 2017IEEE International Conference on Computer Vision (ICCV).IEEE,2017." A low-rank constraint is proposed The denoising algorithm can better describe the stripe noise, but due to the high redundancy of the image space, the low-rank constraint is not very effective, and the process of solving the low-rank constraint problem is more complicated

Method used

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  • A Method of Eliminating Streak Noise in Infrared Image
  • A Method of Eliminating Streak Noise in Infrared Image
  • A Method of Eliminating Streak Noise in Infrared Image

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Experimental program
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Effect test

Embodiment

[0067] For the input infrared image containing streak noise, such as figure 1As shown, first establish a mathematical model according to step 1.

[0068] Initialize Y, a, λ 1 ,λ 2 , energy, thresh and other variables.

[0069] Construct the objective function according to the established mathematical model:

[0070]

[0071] Among them, energy is a scalar, and a reasonable value can be set according to the strength of the noise. f(Y) adopts the TV model, in order to facilitate the solution, the first norm in the TV model is changed to the second norm, namely:

[0072]

[0073] where λ 1 ,λ 2 is a scalar, representing the penalty item, Represents the convolution operation, h and d represent the horizontal gradient operator and the vertical gradient operator respectively, and the convolution operation is written in the form of matrix multiplication, then f(Y) is expressed as:

[0074]

[0075] Then use step 3 to solve the objective function until the iteration ...

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Abstract

The invention discloses a method for eliminating streak noise in infrared images. Firstly, a mathematical model of superimposed streak noise infrared images is established, and the characteristics of streak noise are intuitively expressed through the mathematical model, and then an objective function is constructed, followed by an alternate optimization method. Solving the objective function can well eliminate the streak noise in the infrared image and reduce the computational complexity.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for eliminating noise. Background technique [0002] The uncooled infrared focal plane array receives the thermal radiation information of objects in the field of view and converts it into an infrared image, which is the current mainstream infrared thermal radiation imaging detector. When different columns of pixels in the focal plane array read out different column channels in the circuit, they are affected by time drift / temperature drift, and the amplifiers in each column channel have different noise characteristics, resulting in a large number of generated infrared images. Streak noise. Streak noise has the characteristic that the intensity of noise on each column is roughly the same, but the intensity of noise between different columns is different. The traditional filter denoising algorithm cannot grasp this feature well. In the document "Chang Y, Yan L,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10048
Inventor 王向宇梁军利
Owner NORTHWESTERN POLYTECHNICAL UNIV
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