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Photon counting image denoising algorithm based on NSCT and block matching filtering

A photon counting and block matching technology, which is applied in the field of image denoising, can solve the problems of severe noise and unclear outline of photon counting images, and achieve the effect of solving the unclear outline

Active Publication Date: 2019-07-02
SHANDONG UNIV OF TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: to overcome the deficiencies of the prior art, to provide a solution based on non-subsampling contourlet transform and block matching that solves the problem of unclear outline and serious noise of the photon counting image scanned in a low-illuminance environment Filtered Photon Counting Image Denoising Algorithm

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  • Photon counting image denoising algorithm based on NSCT and block matching filtering

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Embodiment Construction

[0050] Figure 1-6 It is the best embodiment of the present invention, below in conjunction with attached Figure 1-6 The present invention will be further described.

[0051] Such as figure 1 As shown, the photon counting image denoising algorithm based on NSCT and block matching filtering includes the following steps:

[0052]Step 1: Select different numbers of layers and directions, and perform non-subsampling Contourlet transform (NSCT) on the photon counting source image to obtain high and low frequency coefficient subbands.

[0053] Set the illuminance value to 6.31×10 -5 The photon counting image obtained under lx is recorded as the source image A, and the illuminance value is 4.02×10 -4 The photon counting image obtained under lx is recorded as source image B, and the photon counting source image A and source image B are respectively subjected to non-subsampling Contourlet transform (NSCT) to obtain high and low frequency coefficient subbands.

[0054] The NSCT fi...

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Abstract

The invention discloses a photon counting image denoising algorithm based on NSCT and block matching filtering, and belongs to the technical field of image denoising. The method is characterized by comprising the following steps: step 1, selecting different layer numbers and direction numbers, and carrying out non-down-sampling Contourlet transformation on a photon counting source image to obtaina high and low frequency coefficient sub-band; and step step 2, processing the decomposed low-frequency coefficient through a single-scale Retinex enhancement algorithm. And step 3, according to the similarity of the image blocks, selecting a high-frequency coefficient sub-band with the best line characteristic in the high-frequency coefficient by using an improved block matching filtering algorithm, and processing the high-frequency coefficient sub-band. And step 4, improving an adaptive threshold value according to an interlayer relation, proposing a new symbol function based on hard and soft threshold functions, and processing other high-frequency sub-band coefficients. And step 5, performing NSCT inverse transformation reconstruction to obtain a photon counting denoising image.

Description

technical field [0001] The invention discloses a photon counting image denoising algorithm based on NSCT and block matching filtering, belonging to the technical field of image denoising. Background technique [0002] With the development of low-light night vision technology, the demand for low-light image processing systems to denoise images obtained under extremely weak light is also increasing. The main idea of ​​image denoising is to reconstruct a reasonable estimate of the original signal from the damaged signal. It aims to reduce image features such as noisy pixels and preserved edge or texture details as much as possible. Reduce image uncertainty and reduce ambiguity, form a more complete description of the target, and facilitate subsequent target observation and recognition. [0003] Photon counting imaging refers to low illumination (less than 10 -3 lx) environment, a low-light night vision technology that displays target images that are difficult to observe with...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20032G06T5/70
Inventor 尹丽菊王炫马立修高明亮邹国锋周辉卢恒炜潘金凤于毅王季峥李英陈尧
Owner SHANDONG UNIV OF TECH
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