Efficient cooperative image transmission in one-way multi-hop sensor network
The challenging task while transmitting the high-quality images over the wireless sensor
networks is to achieve the higher throughput, minimum bit error rate without compromising …
networks is to achieve the higher throughput, minimum bit error rate without compromising …
Scale-free single image deraining via visibility-enhanced recurrent wavelet learning
In this paper, we address a rain removal problem from a single image, even in the presence
of large rain streaks and rain streak accumulation (where individual streaks cannot be seen …
of large rain streaks and rain streak accumulation (where individual streaks cannot be seen …
Single image dehazing using wavelet-based haze-lines and denoising
WY Hsu, YS Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Haze reduces the contrast of an image and causes the loss in colors, which has a negative
effect on the subsequent object detection; therefore, single image dehazing is a challenging …
effect on the subsequent object detection; therefore, single image dehazing is a challenging …
Parameter optimization for local polynomial approximation based intersection confidence interval filter using genetic algorithm: an application for brain MRI image de …
Magnetic resonance imaging (MRI) is extensively exploited for more accurate pathological
changes as well as diagnosis. Conversely, MRI suffers from various shortcomings such as …
changes as well as diagnosis. Conversely, MRI suffers from various shortcomings such as …
Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach
M Juneja, SK Saini, S Kaul, R Acharjee… - … Signal Processing and …, 2021 - Elsevier
Denoising of medical images is of great concern as it plays a significant role in performance
of computer aided diagnosis (CAD) systems. In real life scenarios, various conditions like …
of computer aided diagnosis (CAD) systems. In real life scenarios, various conditions like …
Wavelet approximation-aware residual network for single image deraining
It has been made great progress on single image deraining based on deep convolutional
neural networks (CNNs). In most existing deep deraining methods, CNNs aim to learn a …
neural networks (CNNs). In most existing deep deraining methods, CNNs aim to learn a …
[HTML][HTML] Research on eLoran Weak Signal Extraction Based on Wavelet Hard Thresholding Processing
L Cheng, S Zhang, Z Qi, X Wang, Y Chen, P Feng - Remote Sensing, 2024 - mdpi.com
As the eLoran signal propagates, its strength gradually diminishes with increasing distance,
making subsequent signal capture and terminal development challenging. To address this …
making subsequent signal capture and terminal development challenging. To address this …
Benchmarking automated detection of the retinal external limiting membrane in a 3D spectral domain optical coherence tomography image dataset of full thickness …
In this article, we present a new benchmark for the segmentation of the retinal external
limiting membrane (ELM) using an image dataset of spectral domain optical coherence …
limiting membrane (ELM) using an image dataset of spectral domain optical coherence …
Efficient FPGA architecture of optimized Haar wavelet transform for image and video processing applications
Abstract Discrete Wavelet Transform (DWT) is widely used in digital image and video
processing due to its various advantages over other similar transform techniques. In this …
processing due to its various advantages over other similar transform techniques. In this …
Image denoising based on wavelet transform using Visu thresholding technique
The image often contains noises due to several factors such as a problem in devices or due
to an environmental problem etc. Noise is mainly undesired information, which degrades the …
to an environmental problem etc. Noise is mainly undesired information, which degrades the …