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Image denoising method and image denoising device

An image and input image technology, applied in the field of image denoising methods and devices, can solve problems such as difficulty in achieving denoising effect, and achieve the effect of good denoising effect

Inactive Publication Date: 2017-12-26
GUANGDONG UNIV OF TECH
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  • Claims
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Problems solved by technology

[0004] In the prior art, the image denoising method is to perform image denoising by fixedly selecting certain noise features, and it is difficult to achieve a good denoising effect by performing image denoising in this selective manner

Method used

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  • Image denoising method and image denoising device

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Embodiment Construction

[0029] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0030] Please refer to figure 1 , the embodiment of the present invention provides an image denoising method, comprising the steps of:

[0031] S10: Input the image to be processed into the trained convolutional neural network model to obtain an output image. The convolutional neural network model includes multiple convolutional layers...

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Abstract

The invention discloses an image denoising method and an image denoising device. The image denoising method includes inputting an image to be processed into a trained convolutional neural network model to obtain an output image, wherein the convolutional neural network mode includes multiple convolutional layers and activation functions corresponding to the same, and a convolutional neural network is used for learning and extracting noise features of the input image; subtracting the output image from the image to be processed so as to obtain a denoised image. The image denoising method and the image denoising device have the advantages that the convolutional neural network is used for learning and extracting the noise features of the input image to obtain a noise image, and the noise image is subtracted from the original image to obtain the denoised image, so that denoising is achieved; compared with an existing traditional method, the image denoising method can achieve good denoising effects.

Description

technical field [0001] The invention relates to the field of image processing applications, in particular to an image denoising method and device. Background technique [0002] Compared with the 20th century when humans mainly relied on text and language to transmit and obtain information, in the 21st century information age, images have become an important source for humans to obtain and utilize information, and play an increasingly important role in human life. [0003] However, in real life, the acquired images are often disturbed by noise. Noise deteriorates the image quality, makes the image blurred and even submerges the image features, which brings difficulties to image processing, application and analysis. The purpose of image denoising is to restore potential clear images from noisy images. Image denoising has become a necessary preprocessing process for image processing, application and analysis. [0004] In the prior art, the image denoising method is to perform...

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 蔡念张福伍吉修岑冠东陈新度
Owner GUANGDONG UNIV OF TECH
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