Year: 2020
Type: dissertation
Abstract: This master thesis introduces non-local, learning based denoising methods and proposes a new method called FlashLight CNN for denoising gray-scale images corrupted by additive white Gaussian noise (AWGN). The proposed method is designed based on the combination of deep convolutional and inception networks that improves the learning capacity of the deep neural networks by addressing typical training deep neural networks problems. \nThe proposed method demonstrates state-of-the-art performance both based on quantitative and visual evaluations.
Author: Huu Thanh Binh, Pham
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7065338123