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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
Publication Date: 2019/08/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
image, denoise, deep learning, CNN,
Full Text: PDF(526.6KB)>>
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.