Utilizing local phase information to remove rain from video

V Santhaseelan, VK Asari - International Journal of Computer Vision, 2015 - Springer
In the context of extracting information from video, bad weather conditions like rain can have
a detrimental effect. In this paper, a novel framework to detect and remove rain streaks from …

Classification on the monogenic scale space: Application to target recognition in SAR image

G Dong, G Kuang - IEEE Transactions on Image Processing, 2015 - ieeexplore.ieee.org
This paper introduces a novel classification strategy based on the monogenic scale space
for target recognition in Synthetic Aperture Radar (SAR) image. The proposed method …

Myocardial function imaging in echocardiography using deep learning

A Østvik, IM Salte, E Smistad… - ieee transactions on …, 2021 - ieeexplore.ieee.org
Deformation imaging in echocardiography has been shown to have better diagnostic and
prognostic value than conventional anatomical measures such as ejection fraction …

A pipeline for the generation of realistic 3D synthetic echocardiographic sequences: Methodology and open-access database

M Alessandrini, M De Craene… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Quantification of cardiac deformation and strain with 3D ultrasound takes considerable
research efforts. Nevertheless, a widespread use of these techniques in clinical practice is …

Image registration based on autocorrelation of local structure

Z Li, D Mahapatra, JAW Tielbeek… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Registration of images in the presence of intra-image signal fluctuations is a challenging
task. The definition of an appropriate objective function measuring the similarity between the …

Ultrasound-image-based cardiovascular tissue motion estimation

S Golemati, A Gastounioti… - IEEE Reviews in …, 2016 - ieeexplore.ieee.org
The estimation of cardiovascular tissue motion from ultrasound images is a task of
considerable importance but has remained difficult in clinical practice, mainly due to the …

Motion estimation by deep learning in 2D echocardiography: synthetic dataset and validation

E Evain, Y Sun, K Faraz, D Garcia… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Motion estimation in echocardiography plays an important role in the characterization of
cardiac function, allowing the computation of myocardial deformation indices. However …

Classification via sparse representation of steerable wavelet frames on Grassmann manifold: Application to target recognition in SAR image

G Dong, G Kuang, N Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Automatic target recognition has been widely studied over the years, yet it is still an open
problem. The main obstacle consists in extended operating conditions, eg., depression …

Monogenic Riesz wavelet representation for micro-expression recognition

YH Oh, AC Le Ngo, J See, ST Liong… - … on Digital Signal …, 2015 - ieeexplore.ieee.org
A monogenic signal is a two-dimensional analytical signal that provides the local information
of magnitude, phase, and orientation. While it has been applied on the field of face and …

SequenceMorph: A unified unsupervised learning framework for motion tracking on cardiac image sequences

M Ye, D Yang, Q Huang, M Kanski… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Modern medical imaging techniques, such as ultrasound (US) and cardiac magnetic
resonance (MR) imaging, have enabled the evaluation of myocardial deformation directly …