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Infrared image noise removal method based on adaptive weighted median filtering

An adaptive weighting and infrared image technology, applied in the field of optical measurement, can solve problems such as not being able to preserve image target information well, increase image noise and image quality, and achieve the effect of retaining image edge details and removing image noise

Active Publication Date: 2020-09-29
PLA NO 63686 CORPS
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AI Technical Summary

Problems solved by technology

[0003] In order to improve the effect of infrared images, common sharpening methods will increase the noise of the image and cannot achieve the purpose of improving image quality. Generally, image spatial filtering technology is used to improve the quality of infrared images.
The median filter is a commonly used noise removal method for infrared images. This method is very effective for unipolar or bipolar impulse noise, but when there is non-impact noise in the image, the traditional median filter cannot remove noise at the same time. Better preserve details of image object information

Method used

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  • Infrared image noise removal method based on adaptive weighted median filtering
  • Infrared image noise removal method based on adaptive weighted median filtering
  • Infrared image noise removal method based on adaptive weighted median filtering

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Embodiment

[0071] 1. The original image such as figure 1 shown.

[0072] 2. The results of ordinary 5X5 median filtering are as follows: figure 2 shown.

[0073] 3. The results of ordinary adaptive median filtering are as follows: image 3 shown.

[0074] 4. The adaptive weighted median filtering results are as follows: Figure 4 shown.

[0075] 5. figure 1 Middle is an unprocessed mid-wave infrared image of a gazelle in the wild, figure 2 It is the result of filtering with a 5×5 median filter. It can be seen from the figure that a certain degree of background noise has been filtered out, but there are still many noise residues; image 3 In order to use the ordinary adaptive median filter to filter the results, the effect of noise suppression in the figure is better than that of the 5×5 median filter, but the details of the gazelle are affected to a certain extent; Figure 4 For the image processed by adaptive weighted median filter, after filtering, the suppression of backgrou...

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Abstract

The invention relates to an infrared image noise removal method based on adaptive weighted median filtering. The method comprises the following steps: 1, establishing an infrared image self-adaptive median filtering noise removal method; and 2, distinguishing whether a processing object is noise or image details by utilizing an image gray variance, and finally realizing adaptive median filtering denoising of the infrared image through a center weighting mode, so that the method greatly ensures edge detail information of the image under the condition of removing background noise of the infraredimage, and has a relatively high application value.

Description

technical field [0001] The invention relates to an infrared image noise removal method based on an adaptive weighted median filter. It belongs to the field of optical measurement. Background technique [0002] Any object, as long as its temperature is higher than absolute zero, can produce infrared radiation. Therefore, the object can be detected and measured by receiving the infrared radiation of the object. Infrared detection and visible light detection are important means in the field of optical measurement. In comparison, infrared detection has the advantage of working around the clock. However, the noise of infrared images is much more serious than the noise of visible images. Suppressing and removing the noise of infrared images has always been a key technology in the field of infrared detection. [0003] In order to improve the effect of infrared images, common sharpening methods will increase the noise of the image and cannot achieve the purpose of improving image ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/20
CPCG06T5/20G06T2207/10048G06T2207/20004G06T2207/20032G06T5/70
Inventor 周海渊刘新明赵李健徐如祥房新兵李可张小祥潘良
Owner PLA NO 63686 CORPS
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