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 · 2019
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.