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Image noise reduction method, device and equipment and storage medium

An image noise reduction and image technology, applied in the field of image processing, can solve the problems of complex calculation process of transform domain filtering algorithm, poor image noise reduction effect, unfavorable hardware implementation, etc., to protect image edge details, facilitate hardware implementation, reduce The effect of image noise

Pending Publication Date: 2020-12-29
ZHEJIANG UNIVIEW TECH CO LTD
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Problems solved by technology

[0004] However, in the above two image noise reduction methods, the spatial domain filtering algorithm is relatively simple, and has certain limitations, which makes the image noise reduction effect not good; the calculation process of the transform domain filtering algorithm is complicated, which is not conducive to hardware implementation.

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  • Image noise reduction method, device and equipment and storage medium
  • Image noise reduction method, device and equipment and storage medium

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Embodiment 1

[0033] figure 1 It is a schematic flow chart of an image noise reduction method provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of image noise filtering. This method can be executed by an image noise reduction device to achieve image noise reduction. Process control, the image noise reduction device can be composed of hardware and / or software, and can generally be integrated into computer equipment, which can be any hardware equipment with data processing functions, such as smart phones, computers, etc. The image noise reduction method specifically includes the following:

[0034] S101. Determine a pixel type of a pixel in an image to be processed.

[0035] Wherein, the image to be processed may be, but not limited to: RGB image, YUV image, grayscale image, etc., and the format of the image to be processed is not specifically limited in this embodiment.

[0036] In this embodiment, the pixel types of the pixels include: continuous...

Embodiment 2

[0048] From the above analysis, it can be seen that the embodiment of the present invention determines different noise reduction processing methods according to the pixel types of the pixels in the image to be processed, and performs noise reduction processing on the pixels according to different noise reduction processing methods, and then converts different pixels The noise reduction results of the points are synthesized to obtain the final noise reduction image.

[0049] In another implementation scenario of the embodiment of the present invention, when determining the pixel type of the pixel in the image to be processed, edge detection may be performed on the image to be processed, and the pixel type of the pixel in the image to be processed can be determined according to the edge detection result. Combine below figure 2 , the above-mentioned determination of the pixel type of the pixel in the image to be processed in the image noise reduction method according to the embo...

Embodiment 3

[0104] It can be known from the above analysis that in the embodiment of the present invention, the pixel type of the pixel in the image to be processed is determined according to the pixel value of the pixel in the edge image.

[0105] In the specific implementation process, after the pixel type of the pixel in the image to be processed is determined, the noise reduction processing method of the pixel point can also be determined according to the pixel type, and the noise reduction processing is performed according to the determined noise reduction processing method. Combine below Figure 7 , in the image noise reduction method according to the embodiment of the present invention, the process of determining the noise reduction processing method of the pixel according to the pixel type, and performing the noise reduction processing according to the determined noise reduction processing method will be described in detail.

[0106] Figure 7 It is a schematic flowchart of an im...

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Abstract

The embodiment of the invention discloses an image noise reduction method and device, equipment and a storage medium. The method comprises the steps of determining a pixel type of a pixel point in a to-be-processed image; determining a noise reduction processing mode of the pixel points according to the pixel types of the pixel points in the to-be-processed image; performing noise reduction processing on the pixel points by adopting a noise reduction processing mode of the pixel points; and synthesizing the noise reduction processing results of the pixel points in the to-be-processed image toobtain a final noise reduction image. According to the invention, noise reduction processing is carried out on the image by adopting different noise reduction processing modes according to the types of the pixel points, so that the image noise can be effectively reduced, the image edge details are protected, the calculation complexity is low, and hardware implementation is facilitated.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image noise reduction method, device, equipment, and storage medium. Background technique [0002] When images are collected, transmitted, and stored, image quality is often degraded due to various types of noise interference, which adversely affects subsequent image processing. Therefore, image noise reduction is a widely used technology in the field of image processing. Among them, how to better protect image edge details and other information while filtering out noise is the core issue of image noise reduction. [0003] In related technologies, there are various types of image noise reduction algorithms, and the common ones mainly include spatial domain filtering and transform domain filtering. Among them, the spatial filtering algorithm is generally carried out directly in the two-dimensional space of the image. By analyzing the charact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/13
CPCG06T7/13G06T2207/10004G06T2207/10024G06T2207/20032G06T5/70
Inventor 李晓晖孙岳
Owner ZHEJIANG UNIVIEW TECH CO LTD
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