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Image enhancement method, model training method and equipment

An image enhancement and image technology, applied in the field of image processing, can solve problems such as inaccurate results, artifacts, and less information

Active Publication Date: 2021-07-02
HUAWEI TECH CO LTD
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Problems solved by technology

[0005] The embodiment of this application provides an image enhancement method, a model training method and equipment, which are used to construct a The space-aware 3D lookup table obtains the target lookup table, and based on the target lookup table, the input image is enhanced, which improves the processing ability compared with the traditional 3D lookup table, and solves the problem of lack of information in the enhancement method based on the traditional 3D lookup table (only pixel value) which is prone to the problem of inaccurate results (eg, locally produced wrong colors, artifacts, etc.)

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  • Image enhancement method, model training method and equipment
  • Image enhancement method, model training method and equipment
  • Image enhancement method, model training method and equipment

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Embodiment Construction

[0078] The embodiment of the present application provides an image enhancement method, a model training method and equipment, which are used to obtain the target lookup table according to the image category of the input image, the pixel category of each pixel in the input image, and the constructed space-aware three-dimensional lookup table , and based on the target lookup table to enhance the input image, compared with the traditional three-dimensional lookup table, the processing ability is improved, and the enhancement method based on the traditional three-dimensional lookup table is easy to produce inaccurate results due to less information (only pixel values) (eg, locally produced wrong colors, artifacts, etc.).

[0079] The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It should be unde...

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Abstract

The embodiment of the invention discloses an image enhancement method, a model training method and equipment, which can be applied to the field of image processing in the field of artificial intelligence, and the method comprises the following steps: extracting features from an input image through a first neural network layer to obtain a first feature, performing pixel classification and image classification on the first feature through a second neural network layer and a third neural network layer to generate first classification information and second classification information, and obtaining a target lookup table based on the first classification information, the second classification information and a spatial perception three-dimensional lookup table (3D LUT); building the spatial perception three-dimensional lookup table according to each image category and each pixel category; and finally, obtaining an enhanced image according to the input image and the target lookup table. Compared with a traditional three-dimensional lookup table, the method has the advantages that the processing capacity is improved, and the problem that inaccurate results (such as local wrong colors and artifacts) are easily generated due to less information in an enhancement method based on the traditional three-dimensional lookup table is solved.

Description

technical field [0001] The present application relates to the field of image processing, in particular to an image enhancement method, model training method and equipment. Background technique [0002] Image enhancement is a method to improve the visual effect of an image. Generally speaking, the main purpose of image enhancement is to improve the visual effect of the image and improve the clarity of the image. Resolution reconstruction etc. Traditional image enhancement methods are mainly divided into methods based on the space domain and frequency domain. The method based on the space domain is to directly process the image; the method based on the frequency domain is to correct the transformation coefficient of the image in a certain transformation domain of the image, and then Inversely transform to the original space domain to obtain an enhanced image. [0003] With the development of deep learning technology, the enhancement effect of image enhancement methods based ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06N3/04G06N3/08G06K9/62G06K9/46G06C3/00
CPCG06T5/00G06N3/084G06C3/00G06T2207/20081G06V10/56G06N3/045G06F18/2415
Inventor 汪涛李勇彭竞阳马翼鹏王宪宋风龙颜友亮
Owner HUAWEI TECH CO LTD
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