Review on the advancements in wind turbine blade inspection: Integrating drone and deep learning technologies for enhanced defect detection
The increasing demand for wind power requires more frequent inspections to identify
defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise …
defects in the Wind Turbine Blades (WTBs). These defects, if not detected, can compromise …
NL-SAR: A unified nonlocal framework for resolution-preserving (Pol)(In) SAR denoising
Speckle noise is an inherent problem in coherent imaging systems such as synthetic
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …
Identification of tomato leaf diseases based on multi-channel automatic orientation recurrent attention network
Y Zhang, S Huang, G Zhou, Y Hu, L Li - Computers and Electronics in …, 2023 - Elsevier
In existing deep learning-based tomato leaf disease identification algorithms, there are two
factors limit the performance: 1) noise can be easily generated during image acquisition …
factors limit the performance: 1) noise can be easily generated during image acquisition …
Statistical nearest neighbors for image denoising
Non-local-means image denoising is based on processing a set of neighbors for a given
reference patch. few nearest neighbors (NN) can be used to limit the computational burden …
reference patch. few nearest neighbors (NN) can be used to limit the computational burden …
Ultrasound image despeckling and detection of breast cancer using deep CNN
Breast Cancer is a common type of cancer diagnosed and it is a leading cause of death
amongst the female population worldwide. Ultrasound imaging is the preferred method used …
amongst the female population worldwide. Ultrasound imaging is the preferred method used …
Non-local means image denoising with a soft threshold
L Lu, W **, X Wang - IEEE Signal Processing Letters, 2014 - ieeexplore.ieee.org
Non-local means (NLM) are typically biased by the accumulation of small weights
associated with dissimilar patches, especially at image edges. Hence, we propose to null …
associated with dissimilar patches, especially at image edges. Hence, we propose to null …
Bounded self-weights estimation method for non-local means image denoising using minimax estimators
A non-local means (NLM) filter is a weighted average of a large number of non-local pixels
with various image intensity values. The NLM filters have been shown to have powerful …
with various image intensity values. The NLM filters have been shown to have powerful …
SAR speckle nonlocal filtering with statistical modeling of HAAR wavelet coefficients and stochastic distances
PAA Penna, NDA Mascarenhas - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to the coherent processing of synthetic aperture radar (SAR) systems, multiplicative
speckle noise arises providing a granular appearance in SAR images. This kind of noise …
speckle noise arises providing a granular appearance in SAR images. This kind of noise …
[HTML][HTML] A new exponentially directional weighted function based CT image denoising using total variation
Today, Computed tomography (CT) is one of the high efficient tools in medical science
which helps to diagnose the human body. The presence of noise may degrade the visual …
which helps to diagnose the human body. The presence of noise may degrade the visual …
An overview of the fundamental approaches that yield several image denoising techniques
Digital image is considered as a powerful tool to carry and transmit information between
people. Thus, it attracts the attention of large number of researchers, among them those …
people. Thus, it attracts the attention of large number of researchers, among them those …