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Image noise detection method and device and electronic equipment

A technology of image noise and detection method, applied in the field of image processing

Active Publication Date: 2018-11-20
WUHAN DOUYU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these existing denoising methods have their limitations, and it is still necessary to continue to seek new denoising methods

Method used

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  • Image noise detection method and device and electronic equipment
  • Image noise detection method and device and electronic equipment
  • Image noise detection method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] figure 1 It is a schematic flowchart of an image noise detection method provided in Embodiment 1 of the present invention. The image noise detection method disclosed in this embodiment can be executed by an image noise detection device, wherein the device can be implemented by software and / or hardware, and is generally integrated in a terminal, such as a computer. The image noise detection method disclosed in this embodiment can be used to detect the noise distribution state in a color image. For details, see figure 1 As shown, the method may include the following steps:

[0050] 110. Acquiring an image to be detected.

[0051] Among them, there are many ways to obtain the image to be detected, for example, it can be obtained through an industrial camera.

[0052] 120. Use the trained neural network model to detect noise in the image to be detected, so as to obtain a distribution state of noise in the image to be detected.

[0053] Specifically, see figure 2 Th...

Embodiment 2

[0084] Figure 6 It is a schematic structural diagram of an image noise detection device provided in Embodiment 2 of the present invention. see Figure 6 As shown, the device includes: an acquisition module 610 and a detection module 620;

[0085] An acquisition module 610, configured to acquire an image to be detected;

[0086] The detection module 620 is configured to detect the noise in the image to be detected by using the trained neural network model to obtain the distribution state of the noise in the image to be detected; wherein the trained neural network model includes: Input layer, convolution operation layer and output layer;

[0087] The input layer, the convolution operation layer and the output layer are connected in sequence;

[0088] The convolution operation layer includes a set number of first convolution units connected in sequence, each first convolution unit includes a convolution layer, a normalization layer and an activation function layer connected ...

Embodiment 3

[0095] Figure 7 It is a schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention. Such as Figure 7 As shown, the electronic device includes: a processor 670, a memory 671, and a computer program stored on the memory 671 and operable on the processor 670; wherein, the number of processors 670 can be one or more, Figure 7One processor 670 is used as an example; when the processor 670 executes the computer program, the image noise detection method as described in the first embodiment above is realized. Such as Figure 7 As shown, the electronic device may further include an input device 672 and an output device 673 . Processor 670, memory 671, input device 672 and output device 673 can be connected by bus or other means, Figure 7 Take connection via bus as an example.

[0096] The memory 671, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as the im...

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Abstract

Embodiments of the invention disclose an image noise detection method and device and electronic equipment. The method comprises the following steps of: obtaining a to-be-detected image; and detectingnoise in the to-be-detected image by utilizing a trained neural network model so as to obtain a distribution state of the noise in the to-be-detected image. Through detecting the to-be-detected imageby utilizing the trained neural network model, the distribution state of the noise in the image can be correctly and rapidly obtained, so that convenience is brought to the effective implementation ofnoise removal.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image noise detection method, device, and electronic equipment. Background technique [0002] Noise detection is a very important issue in the field of image processing. Effectively identifying noise in images is a basic issue in image processing and a prerequisite for accurately identifying image content. Therefore, no matter in academia or industry, the research of image noise detection has been widely concerned. [0003] In the current research, many methods and theories have greatly promoted the research of image noise, such as the classic Gaussian low-pass filter denoising, median filter denoising and wavelet threshold denoising. However, these existing denoising methods have their limitations, and new denoising methods still need to be sought. With the development of neural networks in recent years, it is possible to try to apply neu...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T5/00G06N3/04
CPCG06T7/0002G06T7/10G06T2207/20081G06N3/045G06T5/90G06T5/70
Inventor 胡佳静张文明陈少杰
Owner WUHAN DOUYU NETWORK TECH CO LTD
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