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Image denoising method, storage medium and terminal equipment

An image and image block technology, which is applied in the field of image denoising methods, storage media and terminal equipment, can solve the problems of time-consuming, etc., and achieve the effects of reducing time-consuming, improving computing performance, and improving efficiency

Pending Publication Date: 2021-02-02
WUHAN TCL CORP RES CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide an image denoising method, storage medium and terminal equipment to solve the time-consuming problem of the image denoising method in view of the deficiencies of the prior art

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  • Image denoising method, storage medium and terminal equipment
  • Image denoising method, storage medium and terminal equipment
  • Image denoising method, storage medium and terminal equipment

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Embodiment Construction

[0059] The present invention provides an image denoising method, storage medium and terminal equipment. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0060] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, an...

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Abstract

The invention discloses an image denoising method, a storage medium and terminal equipment, and the method comprises the steps: inputting a to-be-denoised image into a trained image denoising model, and carrying out the denoising of the to-be-denoised image through the trained image denoising model, so as to obtain a denoised image. The image denoising model is obtained by performing deep learningon the denoising process of a training image set with multiple training image groups, the training image groups comprise a first image and a second image with the same image content, and the signal-to-noise ratio of the second image is greater than that of the first image. Therefore, the trained image denoising model is used for denoising based on deep learning of the training image set, so thatthe operation performance of the image denoising model can be improved, the time consumed by image denoising is reduced, and the image denoising efficiency is improved.

Description

technical field [0001] The invention relates to the fields of computer vision and digital image processing, in particular to an image denoising method, storage medium and terminal equipment. Background technique [0002] In recent years, with the continuous development of image acquisition technology, people have higher and higher requirements for image quality. One of the important indicators of image quality is the signal-to-noise ratio. However, due to the influence of hardware, environment and human factors in the image acquisition process, there will be noise and various noises in the image, which will greatly affect the details of the image and ultimately affect the image quality. Correspondingly, various denoising methods have emerged one after another, such as denoising based on non-local self-similarity (NSS) models, denoising based on sparse models, denoising based on gradient models, and denoising based on Markov (MRF) models, etc. Although the above-mentioned im...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10024G06T2207/20081G06T2207/20084G06T5/70
Inventor 郑加章
Owner WUHAN TCL CORP RES CO LTD
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