Recently it has been shown that using diffusion models for inverse probl...
Recent works have shown that joint source-channel coding (JSCC) schemes ...
Internet of things (IoT) devices, such as smart meters, smart speakers a...
In this paper, we focus on X-ray images of paintings with concealed
sub-...
Compressed sensing (CS) has been playing a key role in accelerating the
...
Understanding how networks of neurons process information is one of the ...
We study privacy-aware communication over a wiretap channel using end-to...
In this paper, we propose an invertible neural network for image denoisi...
Light-field microscopes are able to capture spatial and angular informat...
We consider a user releasing her data containing some personal informati...
Internet of things (IoT) devices are becoming increasingly popular thank...
In this paper, we introduce a Deep Convolutional Analysis Dictionary Mod...
Inspired by the recent success of Deep Neural Networks and the recent ef...
In single image super-resolution (SISR), given a low-resolution (LR) ima...
In this paper, we propose a novel deep convolutional neural network to s...
Location based mobile applications have become widely popular. Despite t...
We study the privacy-cost trade-off in a smart meter (SM) system with a
...
Real-world data processing problems often involve various image modaliti...
Fast Magnetic Resonance Imaging (MRI) is highly in demand for many clini...
There is an increasing requirement for efficient image retargeting techn...