An image processing method, device and storage medium based on reinforcement learning

A technology of reinforcement learning and image processing, applied in the field of image processing, can solve the problems of poor processing effect and inability to process images accurately, and achieve the effect of reasonable strategy and improved effect

Active Publication Date: 2022-07-08
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Embodiments of the present disclosure provide an image processing method and related devices to solve the problem in the prior art that the image cannot be processed accurately, resulting in poor processing effect

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  • An image processing method, device and storage medium based on reinforcement learning
  • An image processing method, device and storage medium based on reinforcement learning
  • An image processing method, device and storage medium based on reinforcement learning

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Embodiment Construction

[0063] In order to facilitate the understanding of the technical solutions provided by the embodiments of the present disclosure, the embodiments of the present disclosure will be described in further detail below with reference to the accompanying drawings. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0064] It should be noted that the terms "first", "second" and the like in the description and claims of the present disclosure and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that such descriptions are interchangeable under appropriate circumstances so that embodiments of the disclosure can be practiced in sequences other than those illustrated or described in the disclosure. The implementations descr...

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Abstract

The present application discloses an image processing method, device and storage medium based on reinforcement learning, which relate to the technical field of image processing and are used to solve the problem of poor processing effect due to inability to accurately process images. In this method, feature extraction is performed on the target image to obtain a feature map of the target image; the feature map is input into the first network based on reinforcement learning to obtain the target processing method of each pixel in the target image; wherein, the first network is It is obtained by training the target network model based on the reinforcement learning method; in the target network model, mask scoring is performed on each spatial position of the feature map extracted by at least one specified neural network layer; the target image is processed according to the target processing method. In this way, by combining reinforcement learning and spatial attention mechanism, it can help the neural network to understand and extract image features, and then ensure that the obtained strategy is more reasonable, thereby improving the effect of image processing.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to an image processing method, device and storage medium based on reinforcement learning. Background technique [0002] With the popularization of smartphones and the continuous upgrading of camera equipment, users can easily obtain photos to record the wonderful moments in life. However, in order to meet the characteristics of convenient portability, the current mobile phones inevitably make some compromises on the camera hardware, which leads to a big difference in the image quality captured by smartphones compared with advanced devices such as digital SLR cameras. The most common hardware limitation is the lack of a small sensor composed of a large aperture lens and a photodiode, resulting in insufficient light input, insufficient color, high noise, and poor contrast compared with the images captured by advanced devices such as SLRs. . At present, most o...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06N3/04G06N3/08G06F17/16
CPCG06T5/005G06N3/08G06F17/16G06N3/045
Inventor 杨幸潮章佳杰郑云飞于冰
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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