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Learning Tone Mapping Function for Dehazing

Cognitive Computation, 2016
The existence of haze greatly degrades the image quality and hence decreases the cognition performance of a vision system. Therefore, it is crucial to remove haze from images. Instead of formulating dehazing as an image rest-oration or mathematical inversion problem, we, in this paper, conduct dehazing by learning a proper transformation function (i. e.
Xuhang Lian   +4 more
openaire   +2 more sources

Deep Video Inverse Tone Mapping

2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 2019
Inverse tone mapping is an important topic in High Dynamic Range technology. Recent years, deep learning based image inverse tone mapping methods have been extensively studied and perform better than classical inverse tone mapping methods. However, these methods consider the inverse tone mapping problem as a domain transformation problem from LDR ...
Yucheng Xu   +3 more
openaire   +1 more source

Tone Mapping Method Based on the Least Squares Method

Electronics (Switzerland), 2023
Lanfei Zhao, Guoqing Li
exaly  

Tone Mapping

2017
Francesco Banterle   +3 more
openaire   +1 more source

Evaluation of tone mapping operators using a High Dynamic Range display

ACM Transactions on Graphics, 2005
Patrick Ledda, Alan Chalmers
exaly  

Deep Tone Mapping Operator for High Dynamic Range Images

IEEE Transactions on Image Processing, 2020
Aakanksha Rana   +2 more
exaly  

Lightness perception inspired tone mapping

Proceedings of the 1st Symposium on Applied perception in graphics and visualization, 2004
Grzegorz Krawczyk   +3 more
openaire   +1 more source

HDR Tone Mapping

2007
Grzegorz Krawczyk   +2 more
openaire   +3 more sources

Temporally coherent local tone mapping of HDR video

ACM Transactions on Graphics, 2014
Tunc Ozan Aydin   +2 more
exaly  

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