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FACE: Fully Automated Context Enhancement for night-time video sequences

  • Published:2016-10 Issue: Volume:40 Page:682-693
  • ISSN:1047-3203
  • Container-title:Journal of Visual Communication and Image Representation
  • language:en
  • Short-container-title:Journal of Visual Communication and Image Representation

Author:

Ulhaq Anwaar,Yin Xiaoxia,He Jing,Zhang Yanchun

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference39 articles.

1. Automated multi-sensor color video fusion for nighttime video surveillance;Ulhaq,2010

2. Perceptual evaluation of colorized nighttime imagery;Toet;IS&T/SPIE Electronic Imaging,2014

3. Colorization using optimization;Levin,2004

4. Scarf: semi-automatic colorization and reliable image fusion;Gondal,2010

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2. EADS: Edge-assisted and dual similarity loss for unpaired infrared-to-visible video translation;Infrared Physics & Technology;2023-11

3. On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

5. Multimedia Image Data Analysis Based on KNN Algorithm;Computational Intelligence and Neuroscience;2022-04-12
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