Perception consistency ultrasound image super-resolution via self-supervised CycleGAN

H Liu, J Liu, S Hou, T Tao, J Han - Neural Computing and Applications, 2023 - Springer
Due to the limitations of sensors, the transmission medium, and the intrinsic properties of
ultrasound, the quality of ultrasound imaging is always not ideal, especially its low spatial …

A fast medical image super resolution method based on deep learning network

S Zhang, G Liang, S Pan, L Zheng - IEEE Access, 2018 - ieeexplore.ieee.org
Low-resolution medical images can hamper medical diagnosis seriously, especially in the
analysis of retina images and specifically for the detection of macula fovea. Therefore …

R-FUSE: Robust fast fusion of multiband images based on solving a Sylvester equation

Q Wei, N Dobigeon, JY Tourneret… - IEEE signal …, 2016 - ieeexplore.ieee.org
This letter proposes a robust fast multiband image fusion method to merge a high-spatial low-
spectral resolution image and a low-spatial high-spectral resolution image. Following the …

Self super-resolution of optical coherence tomography images based on deep learning

Z Yuan, D Yang, W Wang, J Zhao, Y Liang - Optics Express, 2023 - opg.optica.org
As a medical imaging modality, many researches have been devoted to improving the
resolution of optical coherence tomography (OCT). We developed a deep-learning based …

A multi-degradation aided method for unsupervised remote sensing image super resolution with convolution neural networks

N Zhang, Y Wang, X Zhang, D Xu… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
In remote sensing, it is desirable to improve image resolution by using the image super-
resolution (SR) technique. However, there are two challenges: the first one is that high …

Adaptive super-resolution for remote sensing images based on sparse representation with global joint dictionary model

B Hou, K Zhou, L Jiao - IEEE Transactions on Geoscience and …, 2017 - ieeexplore.ieee.org
Sparse representation has been widely used in the field of remote sensing image super-
resolution (SR) to restore a high-quality image from a low-resolution (LR) image, eg, from …

Multispectral image super-resolution via RGB image fusion and radiometric calibration

ZW Pan, HL Shen - IEEE Transactions on Image Processing, 2018 - ieeexplore.ieee.org
Multispectral imaging is of wide application for its capability in acquiring the spectral
information of scenes. Due to hardware limitation, multispectral imaging device usually …

Unsupervised super-resolution framework for medical ultrasound images using dilated convolutional neural networks

J Lu, W Liu - 2018 IEEE 3rd International Conference on Image …, 2018 - ieeexplore.ieee.org
Ultrasound Imaging is one of the most widely used imaging modalities for clinic diagnosis,
but suffers from a low resolution due to the intrinsic physical flaws. In this paper, we present …

Super resolution of B-mode ultrasound images with deep learning

H Temiz, HS Bilge - Ieee Access, 2020 - ieeexplore.ieee.org
Ultrasound offers a safe, non-invasive, and inexpensive way of imaging. However, due to its
natural intrinsic imaging characteristics, it produces poor quality images with low resolution …