New image denoising algorithm using monogenic wavelet transform and improved deep convolutional neural network

摘要: The new image de-nosing algorithm based on improved deep convolutional neural network in the monogenic wavelet domain is proposed this paper. transform was employed to describe amplitude and phase information of noisy image. Then, are simultaneously used as input for denoising. Finally, inverse obtain denoised experimental results illustrate that achieves superior performance both visual quality objective peak signal-to-noise ratio values, compared with other state-of-the-art de-noising algorithms.