Flashlight CNN Image Denoising

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Authors Pham Huu Thanh Binh, Karen Egiazarian, Cristóvão Cruz
Journal/Conference Name arXiv preprint
Paper Category
Paper 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.
Date of publication 2020
Code Programming Language Shell
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