A systematic review on recent developments in nonlocal and variational methods for SAR image despeckling

S Baraha, AK Sahoo, S Modalavalasa - Signal Processing, 2022 - Elsevier
Speckle is a granular deformity that frequently appears in images acquired through coherent
imaging sensors such as synthetic aperture radar (SAR). The existence of such noise in the …

Computer aided thyroid nodule detection system using medical ultrasound images

D Koundal, S Gupta, S Singh - Biomedical Signal Processing and Control, 2018 - Elsevier
Thyroid nodule is one of the endocrine problem caused due to abnormal growth of cells.
This survival rate can be enhanced by earlier detection of nodules. Thus, the accurate …

Speckle reduction method for thyroid ultrasound images in neutrosophic domain

D Koundal, S Gupta, S Singh - IET Image Processing, 2016 - Wiley Online Library
Neutrosophy is a useful tool for handling uncertainty associated with the images and widely
used in image denoising. Speckle noise is inherent in ultrasound images, which generally …

Efficient nonsmooth nonconvex optimization for image restoration and segmentation

M Jung, M Kang - Journal of Scientific Computing, 2015 - Springer
In this article, we introduce variational image restoration and segmentation models that
incorporate the L^ 1 L 1 data-fidelity measure and a nonsmooth, nonconvex regularizer. The …

Thyroid nodule detection using artificial neural network

XA Kesarkar, KV Kulhalli - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Thyroid gland is one of the largest endocrine gland and is located below the skin and
muscles at front of neck. It has an important role in maintaining the metabolism of body …

Double-Laplacian mixture-error model-based supervised group-sparse coding for robust palmprint recognition

K Jing, X Zhang, X Xu - … on Circuits and Systems for Video …, 2021 - ieeexplore.ieee.org
Robustness enhancement and feature selection are the two crucial issues to be resolved in
robust palmprint recognition. However, existing regression-based methods are insufficient to …

Models for multiplicative noise removal

X Feng, X Zhu - Handbook of Mathematical Models and Algorithms in …, 2021 - Springer
Image denoising is the most important step in image processing for further image analysis. It
is an important topic in many applications, such as object recognition, digital entertainment …

[HTML][HTML] Multidirectional Attention Fusion Network for SAR Change Detection

L Li, Q Liu, G Cao, L Jiao, F Liu, X Liu, P Chen - Remote Sensing, 2024 - mdpi.com
Synthetic Aperture Radar (SAR) imaging is essential for monitoring geomorphic changes,
urban transformations, and natural disasters. However, the inherent complexities of SAR …

[图书][B] Applications of neutrosophic sets in medical image denoising and segmentation

D Koundal, S Gupta, S Singh - 2016 - books.google.com
In medical science, diagnosis and prognosis is one of the most difficult and challenging task
because of restricted subjectivity of the experts and presence of fuzziness in medical …

Neutrosophic based Nakagami total variation method for speckle suppression in thyroid ultrasound images

D Koundal, S Gupta, S Singh - IRBM, 2018 - Elsevier
Background Neutrosophic based methods are becoming very popular in denoising of
images due to the capability of handling indeterminacy. The main goal of denoising is to …