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eess.IV2022★ 1 cited
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…
eess.IV2021
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…
eess.IV2019★ 2 cited
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…