Accurate Magnetic Resonance Image Super-Resolution Using Deep Networks and Gaussian Filtering in the Stationary Wavelet Domain

Suryanarayana, Gunnam; Chandran, Karthik; Ibrahim Khalaf, Osamah; Alotaibi, Youseef; Alsufyani, Abdulmajeed; Alghamdi, Saleh

doi:10.1109/access.2021.3077611

Public

Accurate Magnetic Resonance Image Super-Resolution Using Deep Networks and Gaussian Filtering in the Stationary Wavelet Domain

Published in IEEE Access • Jan 1, 2021

Authors:

Gunnam Suryanarayana

Karthik Chandran

Osamah Ibrahim Khalaf

Abstract

In this correspondence, we present an accurate Magnetic Resonance (MR) image Super-Resolution (SR) method that uses a Very Deep Residual network (VDR-net) in the training phase. By applying 2D Stationary Wavelet Transform (SWT), we decompose each Low Resolution (LR)-High Resolution (HR) example imag...

Subject

Residual

Gaussian

Artificial intelligence

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