Image processing method and device, equipment and storage medium
An image processing and image feature technology, applied in the field of computer vision, can solve the problems of limited features and poor image super-resolution, and achieve the effect of improving accuracy
Active Publication Date: 2021-06-18
TENCENT TECH (SHENZHEN) CO LTD
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[0004] Related technologies only use the feature extraction layer to extract the features of low-resolution images in one dimension, the features that can be extracted are limited, and the effect of image super-resolution is not good
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[0030] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.
[0031] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and de...
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The invention discloses an image processing method and device, equipment and a storage medium, and relates to the field of computer vision. The method comprises: calling a feature extraction network to perform feature extraction on an input image to obtain an image feature set, the feature extraction network comprising a plurality of feature extraction units in mesh connection, the mesh connection comprising that an output end of at least one feature extraction unit has a connection relationship with input ends of at least two feature extraction units, the image feature set comprises a plurality of image features respectively output by the plurality of feature extraction units; weighting the plurality of image features in the image feature set according to an attention mechanism to obtain weighted features; and performing image processing on the weighted features to obtain an image processing result. According to the method, the multi-dimensional features of the image can be extracted, and the image processing result is more accurate.
Description
technical field [0001] The present application relates to the field of computer vision, in particular to an image processing method, device, equipment and storage medium. Background technique [0002] Image super-resolution refers to recovering high-resolution images from low-resolution images. [0003] In related technologies, convolutional neural networks are used to complete image super-resolution tasks. Specifically, input the low-resolution image into the feature extraction layer of the convolutional neural network for feature extraction, extract the structural information hidden in the low-resolution image, and then use the convolutional neural network to restore the high-resolution image according to the extracted image features. rate image. The feature extraction layer usually includes multiple convolutional layers connected in sequence. The low-resolution image is input into the first convolutional layer to obtain the first image feature, and then the first convol...
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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G06T3/40G06N3/04G06N3/08
CPCG06T3/4053G06N3/08G06V40/12G06V40/16G06V40/10G06V10/267G06V10/40G06V2201/07G06N3/045G06F18/24G06F18/253G06F18/214
Inventor 张凯皓罗文寒刘威
Owner TENCENT TECH (SHENZHEN) CO LTD