54 citations · 62 across the 5 of their papers we have counts for
6 papers
Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence
Sutanu Bera, Prabir Kumar Biswas
The resurgence of deep neural networks has created an alternative pathway for low-dose computed tomography denoising by learning a nonlinear transformation function between low-dos…
Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal
Sutanu Bera, Prabir Kumar Biswas
Removing undesired reflections from a photo taken in front of glass is of great importance for enhancing visual computing systems' efficiency. Previous learning-based approaches ha…
Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising
Sutanu Bera, Prabir Kumar Biswas
The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened public concern over the patient's associated radiation dose. However, reducing…
Lightweight Modules for Efficient Deep Learning based Image Restoration
Avisek Lahiri, Sourav Bairagya, Sutanu Bera +2
Low level image restoration is an integral component of modern artificial intelligence (AI) driven camera pipelines. Most of these frameworks are based on deep neural networks whic…
An Ensemble Learning Based Classification of Individual Finger Movement from EEG
Sutanu Bera, Rinku Roy, Debdeep Sikdar +1
Brain computer interface based assistive technology are currently promoted for motor rehabilitation of the neuromuscular ailed individuals. Recent studies indicate a high potential…
A lightweight convolutional neural network for image denoising with fine details preservation capability
Sutanu Bera, Avisek Lahiri, Prabir Kumar Biswas
Image denoising is a fundamental problem in image processing whose primary objective is to remove the noise while preserving the original image structure. In this work, we proposed…