An image processing method and mobile terminal based on convolutional neural network

A convolutional neural network and image processing technology, applied in the field of image processing, to achieve the effect of saving computing time, good compatibility, and improving computing efficiency

Active Publication Date: 2020-06-05
XIAMEN MEITUZHIJIA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] For this reason, the present invention provides a kind of image processing method and mobile terminal based on convolutional neural network, to solve or at least alleviate the problem existing above

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  • An image processing method and mobile terminal based on convolutional neural network
  • An image processing method and mobile terminal based on convolutional neural network
  • An image processing method and mobile terminal based on convolutional neural network

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Embodiment Construction

[0032] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0033] figure 1 A schematic diagram of a mobile terminal 100 according to an embodiment of the present invention is shown. The mobile terminal 100 may be, for example, a mobile phone, a tablet computer, a game console, a multimedia device, a smart wearable device, etc., but is not limited thereto. Such as figure 1 As shown, the mobile terminal 100 may include a memory interface 102 , a graphics processing unit (GPU, Graphics Proc...

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Abstract

The invention discloses an image processing method based on a convolutional neural network and a mobile terminal. The convolutional neural network includes a plurality of data layers, a processing layer and a special activation layer. The method is executed in the GPU of the mobile terminal, and the GPU stores a A texture map, a plurality of first feature maps of the current data layer are stored in the texture map with a first data type, the method includes: obtaining a plurality of first feature maps of the current data layer from the texture map, and converting each first feature map Convert the data in the second data type into the second data type; the current processing layer renders multiple first feature maps of the second data type to generate multiple temporary feature maps of the next data layer; the current special activation layer converts each temporary feature map Convert the data in the next data layer into the predetermined value range of the next data layer, and generate multiple second feature maps of the next data layer; convert the data in each second feature map into the first according to the predetermined value range of the next data layer A data type and store it in the texture map.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method based on a convolutional neural network and a mobile terminal. Background technique [0002] Convolutional Neural Network (CNN, Convolutional Neural Network) plays an important role in the field of image processing. For example, image classification, segmentation, style conversion, image quality improvement, etc., can all be implemented using CNN to achieve better performance than traditional processing methods better effect. At present, CNN-based image processing has been widely used on the PC side. However, its application on mobile terminals still has a bottleneck, especially when the CNN reaches hundreds of layers, a large number of floating-point multiplication operations and a large number of memory applications are required. , resulting in the computing efficiency of mobile terminals not keeping up with the development speed of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06T1/20G06T1/60
CPCG06T1/20G06T1/60G06N3/045
Inventor 李启东李志阳张伟吕仰铭洪炜冬
Owner XIAMEN MEITUZHIJIA TECH
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