Image processing method and device, computer equipment and storage medium

An image processing and processor technology, applied in the field of image processing, can solve problems such as unprovided image processing methods, poor image feature extraction effect, poor calculation accuracy, etc., achieve speed advantages and resource advantages, improve efficiency, and high-precision integration Stylized effect

Pending Publication Date: 2021-01-26
TSINGHUA UNIV
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Problems solved by technology

[0004] In related technologies, the normalized nearest neighbor fixed-point number discretization method is usually used. The calculation accuracy of this method is poor, resulting in poor subsequent image feature extraction. At present, a reasonable and effective image processing method has not been provided.

Method used

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  • Image processing method and device, computer equipment and storage medium
  • Image processing method and device, computer equipment and storage medium
  • Image processing method and device, computer equipment and storage medium

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Embodiment Construction

[0040] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0041] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0042] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...

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Abstract

The invention relates to the technical field of image processing, in particular to an image processing method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a to-be-processed target image; obtaining a neural network model, wherein the neural network model is used for discretizing the floating point type data in different data ranges by adopting different discretization modes to obtain corresponding integer data with a preset bit width; and calling the neural network model to process the target image, and outputting to obtain image feature data.According to the embodiment of the invention, the bit width of integer data is effectively controlled in the floating point type data integer process, the storage representation range of the integerdata is expanded, namely, low-bit-width and high-precision integer is realized, and meanwhile, calculation acceleration is realized due to the speed advantage and the resource advantage of fixed-pointnumber operation, so that the image processing efficiency and the subsequent image feature extraction effect are improved.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular, to an image processing method, device, computer equipment, and storage medium. Background technique [0002] Image processing algorithms based on neural networks often require deep neural network models to extract image features to complete the final tasks of classification, detection, identification, etc. In this process, large-scale vector or matrix floating point multiplication and addition operations will inevitably be introduced , considering the limitations of computing speed and computing and storage resources, it is usually necessary to accelerate the floating-point operations involved in the operation of the neural network image processing algorithm. [0003] Floating-point integerization is a means to effectively accelerate the calculation of neural network image processing algorithms and reduce the consumption of computing resources. By converting ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/28G06F9/30G06N3/04G06N3/08G06T1/20
CPCG06F9/28G06F9/30007G06N3/08G06T1/20G06N3/045
Inventor 李国齐杨玉宽裴京施路平
Owner TSINGHUA UNIV
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