“…All deployed common denoising and image quality assessment tools are available in the MATLAB functions from the "Image Processing", "Deep Learning", "Machine Learning" and "Wavelets" toolboxes of MathWorks. We used denoising methods based on local window filtering of the data (3D Gaussian filtering with the MATLAB-function imgaussf ilt3(), 3D local median filtering with the MATLABfunction medf ilt3() and bilateral filtering with the MATLAB-function imbilatf ilt()) [16,17,18,14], spectral denoising methods (the 3D wavelets denoising with the MATLAB-function wavedec3()) [19,20,21,22,15] and a deep learning denoising method based on pre-trained feed-forward denoising convolutional neural networks (DnCNNs, with the MATLAB-functions denoiseImage() and denoisingN etwork()) [25,26,13,27]. For each of the considered images, the standard deviation of the local Gaussian smoothing kernel σ was changed in the range σ = [0.2, 0.4, 0.6, .…”