Application research on improved CGAN in image raindrop removal

Application research on improved CGAN in image raindrop removal

Rainy weather can greatly reduce the image quality and hinder the subsequent processing of the image. In order to achieve raindrop removal on rainy images, the single image raindrop removal method based on conditional generative adversarial networks (CGAN) is proposed. In this method, CGAN is used a...

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Bibliographic Details
Main Authors: Min Zhu, Chao Fang, Haibo Du, Meibin Qi, Zhiwei Wu
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:The Journal of Engineering
Subjects:
image denoising
feature extraction
image representation
video signal processing
image sequences
image matching
rain
cameras
learning (artificial intelligence)
image restoration
raindrop area
raindrop removal effect
image blurring
improved cgan
rainy weather
image quality
subsequent processing
rainy images
single image raindrop removal method
conditional generative adversarial networks
raindrop image
additional condition information
network model
condition adversarial loss
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1092

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1092

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