Image Denoiser Using Convolutional Neural Network with Deconvolution and Modified Residual Network

Soo-Yeon SHIN  Dong-Myung KIM  Jae-Won SUH  

IEICE TRANSACTIONS on Information and Systems   Vol.E102-D   No.8   pp.1598-1601
Publication Date: 2019/08/01
Publicized: 2019/05/14
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDL8175
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
image,  denoise,  deep learning,  CNN,  

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Due to improvements in hardware and software performance, deep learning algorithms have been used in many areas and have shown good results. In this paper, we propose a noise reduction framework based on a convolutional neural network (CNN) with deconvolution and a modified residual network (ResNet) to remove image noise. Simulation results show that the proposed algorithm is superior to the conventional noise eliminator in subjective and objective performance analyses.