4 citations · 8 across the 12 of their papers we have counts for
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Structurally Adaptive Multi-Derivative Regularization for Image Recovery from Sparse Fourier Samples
Sanjay Viswanath, Manu Ghulyani, Muthuvel Arigovindan
The importance of regularization has been well established in image reconstruction -- which is the computational inversion of imaging forward model -- with applications including d…
Generalized Hessian-Schatten Norm Regularization for Image Reconstruction
Manu Ghulyani, Deepak G Skariah, Muthuvel Arigovindan
Regularization plays a crucial role in reliably utilizing imaging systems for scientific and medical investigations. It helps to stabilize the process of computationally undoing an…
PAT image reconstruction using augmented sparsity regularization with practicable tuning of regularization weight
Nadaparambil Aravindakshan Rejesh, Muthuvel Arigovindan
Among all tissue imaging modalities, photo-acoustic tomography (PAT) has been getting increasing attention in the recent past due to the fact that it has high contrast, high penetr…