Image processing method based on convolutional neural network, and mobile terminal

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

Active Publication Date: 2018-04-03
XIAMEN MEITUZHIJIA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • Image processing method based on convolutional neural network, and mobile terminal
  • Image processing method based on convolutional neural network, and mobile terminal
  • Image processing method based on convolutional neural network, and mobile terminal

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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 comprises a plurality of data layers, a processing layer and a special activation layer. The method is executed in the GPU (Ground Power Unit) of the mobile terminal, the GPU stores a texture map, and the texture map stores a plurality of first featuremaps of the current data layer in a first data type. The method comprises the following steps that: obtaining a plurality of feature maps of the current data layer from the texture map, and converting data in each first feature map into a second data type; carrying out rendering processing on a plurality of first feature maps of a second data type by the current processing layer to generate a plurality of temporary feature maps of the next data layer; converting data in each temporary feature map into the preset numerical value range of the next data layer by the current special activation layer, and generating a plurality of second feature maps of the next data layer; and according to the preset numerical value range of the next data layer, converting data in each second feature map intothe first data type, and storing the data 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 Applications(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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