4 citations · 8 across the 12 of their papers we have counts for
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Photo-acoustic tomographic image reconstruction from reduced data using physically inspired regularization
Nadaparambil Aravindakshan Rejesh, Sandeep Kumar Kalva, Manojit Pramanik +1
We propose a model-based image reconstruction method for photoacoustic tomography(PAT) involving a novel form of regularization and demonstrate its ability to recover good quality…
Generalized Multi-Order Total Variation for Signal Restoration
Sanjay Viswanath, Muthuvel Arigovindan
Total Variation (TV) based regularization has been widely applied in restoration problems due to its simple derivative filters based formulation and robust performance. While first…
Fast roughness minimizing image restoration under mixed Poisson-Gaussian noise
Manu Ghulyani, Muthuvel Arigovindan
Image acquisition in many biomedical imaging modalities is corrupted by Poisson noise followed by additive Gaussian noise. While total variation and related regularization methods…
Image Restoration by Combined Order Regularization with Optimal Spatial Adaptation
Sanjay Viswanath, Simon de Beco, Maxime Dahan +1
Total Variation (TV) and related extensions have been popular in image restoration due to their robust performance and wide applicability. While the original formulation is still r…
Image Reconstruction from Undersampled Confocal Microscopy Data using Multiresolution Based Maximum Entropy Regularization
Bibin Francis, Manoj Mathew, Muthuvel Arigovindan
We consider the problem of reconstructing 2D images from randomly under-sampled confocal microscopy samples. The well known and widely celebrated total variation regularization, wh…