iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Considering Tone Mapping Operator

iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Considering Tone Mapping Operator

In this paper, we propose a novel inverse tone mapping network, called “iTM-Net.” For training iTM-Net, we also propose a novel loss function that considers the non-linear relation between low dynamic range (LDR) and high dynamic range (HDR) images. For inverse tone mapping wit...

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Bibliographic Details
Main Authors: Yuma Kinoshita, Hitoshi Kiya
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
high dynamic range imaging
inverse tone mapping
loss function
Online Access:https://ieeexplore.ieee.org/document/8723346/

Internet

https://ieeexplore.ieee.org/document/8723346/

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