Flashlight CNN Image Denoising
Image and Video Processing
2020-07-06 v2 Machine Learning
Abstract
This paper proposes a learning-based denoising method called FlashLight CNN (FLCNN) that implements a deep neural network for image denoising. The proposed approach is based on deep residual networks and inception networks and it is able to leverage many more parameters than residual networks alone for denoising grayscale images corrupted by additive white Gaussian noise (AWGN). FlashLight CNN demonstrates state of the art performance when compared quantitatively and visually with the current state of the art image denoising methods.
Cite
@article{arxiv.2003.00762,
title = {Flashlight CNN Image Denoising},
author = {Pham Huu Thanh Binh and Cristóvão Cruz and Karen Egiazarian},
journal= {arXiv preprint arXiv:2003.00762},
year = {2020}
}