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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 effect of improving efficiency, improving computing efficiency and saving computing time

Active Publication Date: 2018-04-13
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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  • 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

[0027] 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.

[0028] figure 1A 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 Proce...

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Abstract

The invention discloses an image processing method based on a convolutional neural network. The convolutional neural network comprises multiple data layers and multiple processing layers. Each data layer comprises multiple feature maps. The method is executed in a graphic processor of the mobile terminal. The graphic processor comprises a graphic memory, wherein a texture map is stored in the graphic memory, and multiple first feature maps of a current data layer are stored in a first data type in the texture map. The method comprises the steps that data in the texture map is converted into data of a second data type to acquire the first feature maps of the current data layer; the current processing layer performs rendering processing on the first feature maps of the second data type to generate multiple second feature maps of the next data layer; and data in the second feature maps is converted into data of the first data type, and the data is stored into the texture map. The invention furthermore discloses a corresponding mobile terminal.

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): G06T1/20G06T1/60G06N3/063G06N3/08
CPCG06N3/063G06N3/084G06T1/20G06T1/60
Inventor 李启东李志阳张伟许清泉傅松林
Owner XIAMEN MEITUZHIJIA TECH
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