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A kind of adaptive weighted filtering image noise reduction method, device and image processing equipment

An adaptive weighting and filtering image technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problems of reducing color image quality, color image distortion, etc., and achieve the effect of overcoming image distortion and reducing noise

Active Publication Date: 2022-07-01
ARKMICRO TECH
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  • Claims
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Problems solved by technology

[0004] The object of the present invention is to provide an adaptive weighted filter image noise reduction method, device, computer-readable storage medium and image processing equipment, aiming to solve the red, green, blue Three components, and then combining the processed three components into a color image will often lead to distortion of the final color image and reduce the quality of the denoised color image

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  • A kind of adaptive weighted filtering image noise reduction method, device and image processing equipment
  • A kind of adaptive weighted filtering image noise reduction method, device and image processing equipment
  • A kind of adaptive weighted filtering image noise reduction method, device and image processing equipment

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Embodiment 1

[0034] see figure 1 , the adaptive weighted filtering image noise reduction method provided by the first embodiment of the present invention includes the following steps: It should be noted that, if there are substantially the same results, the adaptive weighted filtering image noise reduction method of the present invention does not figure 1 The sequence of processes shown is limited.

[0035] S101. Separate the luminance component and the chrominance component of the input image.

[0036] In Embodiment 1 of the present invention, the image noise reduction method of adaptive weighted filtering is described by taking the input image as an example of a color image, but the input image may also be a grayscale image.

[0037] If the input image is a grayscale image, S101 may specifically include: taking the grayscale component of the input grayscale image as the luminance component Y, and at this time, the grayscale image does not contain chrominance components. If the input im...

Embodiment 2

[0068] see Figure 7 , the adaptive weighted filtering image noise reduction device provided by the second embodiment of the present invention includes:

[0069] A separation module 11, for separating the luminance component and the chrominance component of the input image;

[0070] The extraction module 12 is used to extract the high frequency part and the low frequency part of the luminance component;

[0071] The filtering module 13 is used to perform low-pass filtering on the high-frequency part of the luminance component, adaptively weighted filtering on the low-frequency part, and directly perform adaptive weighting filtering on the chrominance component to obtain the denoised chrominance component;

[0072] The fusion module 14 is used to fuse the low-pass filtering result of the high-frequency part of the luminance component and the adaptive weighted filtering result of the low-frequency part to obtain the luminance component after noise reduction;

[0073] The conve...

Embodiment 3

[0076] Embodiment 3 of the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, implements the adaptively weighted filtered image provided in Embodiment 1 of the present invention The steps of the noise reduction method.

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Abstract

The invention is applicable to the field of image and video processing, and provides an adaptive weighted filtering image noise reduction method, device and image processing equipment. The method includes: separating the luminance component and the chrominance component of the input image; extracting the high-frequency part and the low-frequency part of the luminance component; performing low-pass filtering on the high-frequency part of the luminance component, and performing adaptive weighting filtering on the low-frequency The intensity component is directly adaptively weighted and filtered to obtain the denoised chrominance component; the low-pass filtering result of the high-frequency part of the luminance component and the adaptive weighted filtering result of the low-frequency part are fused to obtain the denoised luminance component; Convert the denoised luminance component and chrominance component to the color space of the input image and output the image. The invention overcomes to a certain extent the shortcomings of image distortion generated when the traditional algorithm uses RGB three channels to separately process color images, and can better reduce the noise in the image.

Description

technical field [0001] The invention belongs to the field of image and video processing, and in particular relates to an adaptive weighted filtering image noise reduction method, device and image processing equipment. Background technique [0002] In the process of image acquisition and transmission, different kinds of noise will be introduced due to various factors. Noise not only affects the visual effect of the image, but also brings difficulties to the later analysis and processing of video images. Therefore, reducing the noise in the image is an essential link in the image processing process. However, noise can only be completely eliminated when the cause of the noise is fully known and can be mathematically modelled and reversible. But in fact it is impossible to completely know the cause of the noise. [0003] There are generally smooth areas and rich details or edges in the image. These details or edges usually contain important visual perception information. Ther...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/20024G06T2207/10024
Inventor 邹咪刘俊秀严卫健胡煦辉石岭
Owner ARKMICRO TECH
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