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Fuzzy image sharpening processing method and system based on deep neural network

A technology of deep neural network and processing method, applied in the field of fuzzy image clear processing method and system, to achieve multi-scene adaptability and make up for the lack of plasticity

Active Publication Date: 2021-07-16
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still many deficiencies in the existing image processing for blur removal, and a better blur image processing method is urgently needed

Method used

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  • Fuzzy image sharpening processing method and system based on deep neural network
  • Fuzzy image sharpening processing method and system based on deep neural network
  • Fuzzy image sharpening processing method and system based on deep neural network

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Embodiment

[0043] This embodiment provides a method for clearing blurred pictures based on a deep neural network. In this embodiment, the method is as follows figure 1 As shown, it is executed on a physical system with the Android platform as the core, including the following steps:

[0044] The original image P is blurred by the fuzzy algorithm to obtain the image

[0045] The original image P and the blurred image Train the BiCycleGAN network as training data;

[0046] In practical application, the blurred image obtained by the image acquisition terminal is transmitted to the server through the Android exchange platform. After receiving the blurred image data, the server calls the trained BiCycleGAN network for clearing processing and returns the processing result to the Android The switching platform, the Android switching platform displays a clear image on the image display end.

[0047] Wherein, the method involves the input domain and output domain of the image in the process...

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Abstract

The invention discloses a method and system for clearing and processing blurred pictures based on a deep neural network. The method includes the following steps: performing blurring processing on the original image P through a fuzzy algorithm to obtain an image; combining the original image P with the blurred processed image The image is used as training data to train the BiCycleGAN network; in practical application, the blurred image to be processed is transmitted to the server, and after receiving the blurred image data, the server calls the trained BiCycleGAN network for clearing processing and returns the processing result. The method solves the blur problem caused by hardware or image content itself, and uses a deep neural network to solve this problem, and expands the processing method for solving image blur.

Description

technical field [0001] The invention relates to the field of image processing and deep learning, in particular to a method and system for clearing blurred pictures based on a deep neural network. Background technique [0002] In recent years, with the rapid development of the mobile Internet, smart phones have become an indispensable part of people's daily life. Smartphone hardware is rapidly iterating, and the computing power of the mobile terminal is getting stronger and stronger. The mobile terminal gradually replaces the PC terminal as the entrance of Internet traffic, and many new needs have been born. Taking pictures is the most popular demand for people whether they are traveling or in daily life. one. In actual shooting, tiny jitters in the photosensitive process are unavoidable. The jitters may come from the photographer himself, or may be caused by the shutter time not being short enough. These jitters will cause overlapping of pixels, resulting in blurred photos ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06N3/04
CPCG06T2207/20081G06T2207/20084G06N3/045G06T5/73
Inventor 唐珩膑彭德智舒琳王岽然张国雄巫朝政邢晓芬
Owner SOUTH CHINA UNIV OF TECH