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Image processing method of coded pulse sequence

A pulse sequence and image technology, applied in the field of image processing, can solve problems such as low coding efficiency and information loss, and achieve the effect of reducing information loss, improving efficiency, and enhancing naturalness and realism

Active Publication Date: 2019-11-15
PEKING UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of serious information loss and low encoding efficiency in the process of encoding images into pulses in the current prior art, the present invention provides a new image pulse encoding method, which extracts the information of the original image at multiple levels , which greatly reduces the information loss caused by encoding the image into pulses, and the length of the pulse sequence generated by encoding is relatively short (generally within 10 pulse frames), which effectively improves the encoding efficiency

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  • Image processing method of coded pulse sequence
  • Image processing method of coded pulse sequence
  • Image processing method of coded pulse sequence

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0027] The present invention provides an image processing method for encoding pulse sequences, which is a new image pulse encoding method. The method extracts the information of the original image at multiple levels, and encodes the information of different levels into a pulse sequence according to the time sequence relationship, greatly improving It reduces the information loss caused by encoding the image into pulses, and the length of the pulse sequence segment generated by encoding is relatively short, which effectively improves the encoding efficiency, and can solve the problem of serious information loss and serious problems in the process of encoding images into pulses in the prior art Low coding efficiency and other issues.

[0028] figure 1 It is a flow chart of the implementation steps of ...

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Abstract

The invention discloses an image processing method of a coded pulse sequence. The image processing method comprises the following steps: performing multi-layer information coding on an image, and coding information of different layers of the image into a pulse sequence according to a time sequence relationship; converting an image into a grayscale image and standardizing the grayscale value of theimage; encoding the shape, the feature points, the color and the texture of the grayscale image into pulses; and arranging the coded pulses according to a set sequence to form a string of pulse sequence. According to the invention, the information of each layer carried by the image is effectively utilized, and meanwhile, the non-key information is reduced. For the spiking neural network, the information completeness of the pulse sequence input by the neural network is improved, and the redundancy of information is reduced, and the information processing efficiency of the spiking neural network can be improved. For signal processing, the information capacity of an information source and the coding efficiency of information are improved.

Description

technical field [0001] The invention belongs to the technical fields of brain-inspired computing, pulse neural network, and image coding, in particular to a method for encoding an image into a pulse sequence, and in particular to an image processing method applied in the field of pulse neural network information processing. Background technique [0002] In recent years, the field of brain-inspired computing has gradually attracted the attention of many scholars. Researchers have carried out research in the fields of biological neurons, connection methods, and spiking neural networks, trying to model the brain from the microscopic to the macroscopic level, and further advance the current state of the art. The artificial intelligence process based on deep learning technology will eventually achieve the goal of general artificial intelligence. [0003] Spiking Neuron Networks (SNN, Spiking Neuron Networks) is known as the "third-generation neural network". The methods are more...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00
CPCG06T9/002
Inventor 任全胜赵君伟
Owner PEKING UNIV
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