7 papers
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…
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…