Image denoiser using convolutional neural network with deconvolution and modified residual network

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Abstract

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.

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Shin, S. Y., Kim, D. M., & Suh, J. W. (2019). Image denoiser using convolutional neural network with deconvolution and modified residual network. IEICE Transactions on Information and Systems, E102D(8), 1598–1601. https://doi.org/10.1587/transinf.2018EDL8175

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