Colorful Image Colorization with Classification and Asymmetric Feature Fusion

Colorful Image Colorization with Classification and Asymmetric Feature Fusion

An automatic colorization algorithm can convert a grayscale image to a colorful image using regression loss functions or classification loss functions. However, the regression loss function leads to brown results, while the classification loss function leads to the problem of color overflow and the...

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Bibliographic Details
Main Authors: Zhiyuan Wang, Yi Yu, Daqun Li, Yuanyuan Wan, Mingyang Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
colorization
category conversion module
category balance module
U-Net
classification subnetwork
asymmetric feature fusion
Online Access:https://www.mdpi.com/1424-8220/22/20/8010

Internet

https://www.mdpi.com/1424-8220/22/20/8010

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