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Image processing method, device and equipment and computer readable storage medium

An image processing and image technology, applied in the field of image processing, can solve problems such as large amount of calculation, complex network structure, and inability to realize real-time processing, so as to improve the efficiency of image processing and ensure the effect of processing effect.

Active Publication Date: 2020-07-10
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, when image processing is performed through machine learning, it is often necessary to ensure that the number of layers of the neural network model used is sufficiently deep, so the network structure will be very complicated, and the amount of calculation will be large, so real-time processing cannot be realized.

Method used

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  • Image processing method, device and equipment and computer readable storage medium
  • Image processing method, device and equipment and computer readable storage medium
  • Image processing method, device and equipment and computer readable storage medium

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Embodiment Construction

[0093] In order to make the purpose, technical solutions and advantages of the application clearer, the technical solutions and advantages will be more clear, the application will be further described in detail below in conjunction with the accompanying drawings, and the described embodiments should not be considered as limiting the application. All other embodiments obtained by persons of ordinary skill without creative efforts fall within the protection scope of the present application.

[0094] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0095] In the following description, the term "first\second\third" is only used to distinguish similar objects, and does not represent a specific ordering of objects. Understandably, "first\second\third"...

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Abstract

The embodiment of the invention provides an image processing method, device and equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-processed image,and determining a neighborhood image block corresponding to each pixel point in the to-be-processed image; when the to-be-processed image is a grayscale image, extracting a feature vector of each pixel point in the to-be-processed image; processing the feature vector and the neighborhood image block of each pixel point by using a lightweight model to obtain a processed target image, wherein the lightweight model is obtained by performing lightweight processing on a trained neural network model; and outputting the target image. Through the image processing method and device, the pixel coherence of the target image can be guaranteed, image processing can be conducted in real time, and the image processing efficiency is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and relate to, but are not limited to, an image processing method, device, device, and computer-readable storage medium. Background technique [0002] Image processing is a method and technology for removing noise, enhancing, restoring, and improving resolution of images through computers. With the continuous development of computer science and technology and digital technology, image processing is widely used in various fields such as work, life, military affairs, and medicine. With the development of artificial intelligence technology, when image processing is implemented, machine learning can be used to achieve better processing results. [0003] At present, when image processing is performed through machine learning, it is often necessary to ensure that the number of layers of the neural network model used is sufficiently deep, so the network structure wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04
CPCG06T3/4053G06N3/045G06N3/084G06N20/00G06T3/4046G06N5/01G06N3/048G06T5/20G06T2207/10016G06T2207/10024G06T2207/20081G06T2207/20084H04N9/67
Inventor 陈法圣
Owner TENCENT TECH (SHENZHEN) CO LTD
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