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Image denoising method for preventing image edge information from being lost

A technology of information loss and image edge, applied in the field of image processing, can solve the problems of easy loss of details, achieve the effect of improving quality and visual effect, optimizing denoising effect, and breaking through high-frequency details

Pending Publication Date: 2019-12-20
HEFEI UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the defect that details are easily lost in the denoising process in the prior art, and provide an image denoising method that prevents loss of image edge information to solve the above problems

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  • Image denoising method for preventing image edge information from being lost
  • Image denoising method for preventing image edge information from being lost
  • Image denoising method for preventing image edge information from being lost

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Embodiment Construction

[0045]In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0046] Such as figure 1 As shown, a kind of image denoising method that prevents loss of image edge information of the present invention, comprises the following steps:

[0047] The first step is to construct and train the denoising convolutional neural network model: construct the denoising convolutional neural network model, and use the images in the standard training set to train the denoising convolutional neural network model. It includes the following steps:

[0048] (1) Set the denoising convolutional neural network model to a four-layer structure, the first layer is the bicubic interpolation function amplification layer, the second layer is the feature extraction layer, the third layer is the nonlinear mapping layer, and the f...

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Abstract

The invention relates to an image denoising method for preventing image edge information from being lost. Compared with the prior art, the defect that details are prone to being lost in the denoisingprocess is overcome. The method comprises the following steps: constructing and training a denoising convolutional neural network model, acquiring a noise image, and obtaining a denoised result. According to the method, a good image denoising effect can be obtained by utilizing the neural network model, more high-frequency details of the image can be reserved, the method better conforms to a visual mechanism of human eyes, and the quality and visual effect of the image are improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image denoising method for preventing loss of image edge information. Background technique [0002] With the popularization of various digital instruments and digital products, images and videos have become the most commonly used information carriers in human activities. They contain a lot of information about objects and become the main way for people to obtain original information from the outside world. However, in the process of image acquisition, transmission and storage, it is often disturbed and affected by various noises to degrade the image, and the quality of the image preprocessing algorithm is directly related to the effect of subsequent image processing, such as image segmentation, target Recognition, edge extraction, etc., so in order to obtain high-quality digital images, it is necessary to denoise the image. [0003] In the process of denoising (de)no...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20081G06T2207/20084G06T5/70
Inventor 檀结庆
Owner HEFEI UNIV OF TECH
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