An infrared image denoising method based on a Butterworth filter

An infrared image and filter technology, applied in the field of image denoising, can solve problems such as low contrast, image blur, and infrared image quality are not obvious, and achieve the effect of improving signal-to-noise ratio and quality

Active Publication Date: 2019-01-11
HENAN NORMAL UNIV
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Problems solved by technology

These methods have a certain inhibitory effect on noise, but for the low contrast of infrared images, especially those under the background of hi

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  • An infrared image denoising method based on a Butterworth filter
  • An infrared image denoising method based on a Butterworth filter
  • An infrared image denoising method based on a Butterworth filter

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Embodiment Construction

[0062] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0063] Such as figure 2 As shown, a kind of infrared image denoising method based on Butterworth filter described in the present invention, comprises the following steps successively:

[0064] Step 1: Read the original image im1 with Gaussian white noise added, calculate the gray mean, gray variance, median gray value and quarter-point gray difference of the original image im1, and calculate the Butterworth filter of the original image The best parameters of the device;

[0065] Step 101: Select ten origin...

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Abstract

The invention discloses an infrared image denoising method based on a Butterworth filter. At first, that image is divided into high frequency component and low frequency component by Butterworth filter, a partial differential equation is used to denoise the image of inverse Fourier transform of high frequency component, the low-frequency component is transformed by inverse Fourier transform, and the image enhancement and median filtering result are fused to denoise. Finally, the processed high-frequency component and low-frequency component are transformed to frequency domain for fusing, and then the denoised image is obtained by inverse Fourier transform to spatial domain. The method can obviously improve the signal-to-noise ratio of the infrared image, thereby removing noise in the image, clearly separating the image from the background, and improving the quality of the infrared image.

Description

technical field [0001] The invention relates to the technical field of image denoising, in particular to an infrared image denoising method based on a Butterworth filter. Background technique [0002] Infrared images have been widely used in a series of aspects related to national economy and people's livelihood such as optical measurement, target recognition, national defense and military industry. However, infrared detectors will inevitably be affected by noise during the imaging process. Generally speaking, there are roughly four types of noise for infrared cameras: background noise, dark noise, photon noise, and readout noise. According to the statistical distribution, these noises can be divided into There are four types: Gaussian white noise, Poisson white noise, mixed white noise, and 1 / f noise. The noise mentioned above will make the overall gray value of the image larger, that is, the image will become white as a whole. This noise effect will especially reduce the ...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10048G06T2207/20032
Inventor 于坤焦青亮刘子龙刘玉芳
Owner HENAN NORMAL UNIV
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