Hardware Implementation of Low-latency Image Denoising with Wavelet Shrinkage and Noise2Noise-based Learning for Ultra-high Definition Cameras

Author:

Kikuchi Kodai1,Tomioka Kohei1,Honji Akira1,Usui Takenobu1,Hirakawa Keigo2,Kitamura Kazuya1

Affiliation:

1. Science & Technology Research Laboratories Japan Broadcasting Corporation,Tokyo,Japan

2. University of Dayton,Department of Electrical and Computer Engineering,Ohio,U.S.A

Publisher

IEEE

Reference5 articles.

1. International Telecommunications Union – Radiocommunication (ITU-R), Recommendation BT.2100-2;Image parameter values for high dynamic range television for use in production and international programme exchange,2018

2. Minimum Risk Wavelet Shrinkage Operator for Poisson Image Denoising

3. Noise2noise: Learning image restoration without clean data;Lehtinen;arXiv preprint arXiv:1803.04189,2018

4. A Bayesian Perspective on Noise2Noise: Theory and Extensions

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