Image noise reduction method and computer readable storage medium

An image noise reduction and image technology, applied in the field of image processing, can solve problems such as poor filtering performance, unfavorable diagnosis, and smear, and achieve the effects of convenient diagnosis, suppressing smear, and suppressing noise

Active Publication Date: 2019-11-12
SHENZHEN ANGELL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Common X-ray fluoroscopy filters include NLM, BM3D, and bilateral filters. In low-dose cases, the filtering performance is not good.
[0005] Ordinary X-ray fluoroscopy recursive filtering noise reduction method (Til Aach. Noise Reduction and ImageEnhancement Algorithms for Low-Dose X-Ray Fluoroscopy) will have serious smearing problems at low frame rates (<20fps), that is, the upper The texture of one frame will be superimposed on the current frame, which is not good for diagnosis

Method used

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  • Image noise reduction method and computer readable storage medium
  • Image noise reduction method and computer readable storage medium
  • Image noise reduction method and computer readable storage medium

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Embodiment 1

[0063] Please refer to Figure 2-11 , Embodiment 1 of the present invention is: an image noise reduction method, based on time-domain recursive filtering, which can be applied to noise reduction of X-ray fluoroscopy images, such as figure 2 shown, including the following steps:

[0064] S1: Setting the parameters of the image of the first frame, including setting the output image of the first frame and the filter gain of the first frame.

[0065] Specifically, the input image of the first frame (that is, the image of the first frame) can be directly used as the output image of the first frame, that is, x(1,n)=y(1,n); x(t,n ) represents the output image of the t-th frame, y(t,n) represents the input image of the t-th frame, t represents the serial number of the frame, and n represents the pixel index in the image. For the convenience of expression, n can be omitted.

[0066] It is also possible to use other non-recursive methods to perform special processing on the image of ...

Embodiment 2

[0097] This embodiment is a computer-readable storage medium corresponding to the above-mentioned embodiments, on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:

[0098] Obtain the input image of the current frame and the output image of the previous frame, the input image of the current frame is the image of the current frame;

[0099] calculating the inter-frame grayscale difference between the input image of the current frame and the output image of the previous frame;

[0100] performing truncation processing on the inter-frame grayscale difference according to a preset suppression value and a truncation value;

[0101] Generate the continuity probability curve corresponding to the current frame according to the truncated inter-frame grayscale difference and the preset curve parameters;

[0102] calculating the filter gain of the current frame according to the filter gain of the previous frame and ...

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Abstract

The invention discloses an image noise reduction method and a computer readable storage medium. The method comprises the steps of obtaining an input image of a current frame and an output image of a previous frame; calculating an inter-frame gray difference between the input image of the current frame and the output image of the previous frame; according to a preset suppression value and a truncation value, truncating the inter-frame gray scale difference value; generating a continuity probability curve corresponding to the current frame according to the interframe gray difference after truncation processing and a preset curve parameter; calculating the filter gain of the current frame according to the filter gain of the previous frame and the continuity probability curve corresponding tothe current frame; and calculating the output image of the current frame according to the input image of the current frame, the output image of the previous frame and the filter gain of the current frame to obtain a denoised image of the current frame. The noise in the image can be well suppressed, and no obvious smear is generated.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image noise reduction method and a computer-readable storage medium. Background technique [0002] X-Ray fluoroscopy (X-Ray fluoroscopy) images have more and more important values ​​in clinical diagnosis because of their real-time performance. However, the noise of the image is a Poisson distribution noise, and the noise and the signal are related, so many classical algorithms based on the additive Gaussian noise model cannot remove the noise well. [0003] Under the current industry background that requires lower and lower fluoroscopy dose, the noise level of the image will inevitably increase if the fluoroscopy dose is reduced. This is determined by the physical characteristics of X-rays. Therefore, it is more and more urgent to better filter out the noise of low-dose fluoroscopy. [0004] X-ray fluoroscopy filters are more common such as NLM, BM3D and bi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G16H30/20
CPCG06T5/002G16H30/20G06T2207/10116
Inventor 荣繁壮叶超易浩平杨杰
Owner SHENZHEN ANGELL TECH
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