Image enhancement method and image enhancement device
An image enhancement, image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of image color, brightness, contrast, saturation and other inconsistencies
Pending Publication Date: 2021-08-20
HUAWEI TECH CO LTD
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However, because the super-resolution method based on deep learning usually only performs a complex super-resolution process on the brightness channel of the original resolution input image, and usually uses simple upsampling for the color channel, resulting in image enhancement methods that have super-resolution images before and after processing Inconsistencies in color, brightness, contrast, saturation, etc.
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[0098] The following will describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0099] It should be understood that the images in the embodiments of the present application may be static images (or called static pictures) or dynamic images (or called dynamic pictures), for example, the images in the present application may be videos or dynamic pictures, or, the present application Images in can also be still images or photographs. For ease of description, the present application collectively refers to static images or dynamic images as images in the following embodiments.
[0100] I...
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The invention discloses an image enhancement method and an image enhancement device in the field of computer vision in the field of artificial intelligence, and the method comprises the steps: obtaining a first HDR image corresponding to a to-be-processed image and color image features of the to-be-processed image, wherein the to-be-processed image is an image of a first resolution, the first HDR image is an image of a second resolution, the first resolution is greater than the second resolution, and the color image features are used for indicating different brightness areas or different color change areas in the to-be-processed image; inputting the first HDR image into a neural network model for super-resolution processing; and performing image enhancement processing on the first HDR image after super-resolution processing and the color image features through a neural network model to obtain a second HDR image corresponding to the to-be-processed image, the second HDR image being an HDR image of which the resolution is the first resolution. According to the technical scheme, the image enhancement processing effect can be improved.
Description
technical field [0001] The present application relates to the field of artificial intelligence, and more specifically, to an image enhancement method and an image enhancement device in the field of computer vision. Background technique [0002] Computer vision is an integral part of various intelligent / autonomous systems in various application fields such as manufacturing, inspection, document analysis, medical diagnosis, and military. What we need is the knowledge of the data and information of the subject being photographed. To put it figuratively, it is to install eyes (cameras / video cameras) and brains (algorithms) on computers to replace human eyes to identify, track and measure targets, so that computers can perceive the environment. Because perception can be thought of as extracting information from sensory signals, computer vision can also be thought of as the science of how to make artificial systems "perceive" from images or multidimensional data. In general, com...
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IPC IPC(8): G06T5/00G06T3/40G06T7/41G06T7/90
CPCG06T3/4053G06T7/41G06T7/90G06T2207/10024G06T2207/20081G06T2207/20084G06T5/90G06T3/4046G06T2207/20208G06N3/09G06N3/0464G06N3/0455G06N3/084G06T2207/30252G06T5/92G06T5/60
Inventor 马翼鹏汪涛彭竞阳宋风龙
Owner HUAWEI TECH CO LTD