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UDLR Convolutional Network for Adaptive Image Denoiser

  • Sungmin Cha
  • Taesup MoonEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1015)

Abstract

We propose a new convolutional network architecture called as UDLR Convolutional Network for improving the recently proposed Neural Adaptive Image DEnoiser (NAIDE). More specifically, we develop UDLR filters that meet the conditional independence constraint of NAIDE. By using the UDLR network, we could achieve a denoising result that significantly outperforms the state-of-the-art CNN-based methods on a standard benchmark dataset.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringSungkyunkwan University (SKKU)SuwonSouth Korea

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