An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network

An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network

The purpose of image dehazing is to remove the interference from weather factors in degraded images and enhance the clarity and color saturation of images to maximize the restoration of useful features. Single image dehazing is one of the most important tasks in the field of image restoration. In re...

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Bibliographic Details
Main Authors: Jun Xu, Zi-Xuan Chen, Hao Luo, Zhe-Ming Lu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
image dehazing
deep learning
convolutional neural network
Transformer
Transformer–Convolution fusion dehazing network (TCFDN)
Online Access:https://www.mdpi.com/1424-8220/23/1/43

Internet

https://www.mdpi.com/1424-8220/23/1/43

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