4 papers
PSTAIC regularization for 2D spatiotemporal image reconstruction
Deepak G Skariah, Muthuvel Arigovindan
We propose a model for restoration of spatio-temporal TIRF images based on infimal decomposition regularization model named STAIC proposed earlier. We propose to strengthen the STA…
STAIC regularization for spatio-temporal image reconstruction
Deepak G Skariah, Muthuvel Arigovindan
We propose a regularization-based image restoration scheme for 2D images recorded over time (2D+t). We design an infimal convolution-based regularization function which we call spa…
Non-convex regularization based on shrinkage penalty function
Manu Ghulyani, Muthuvel Arigovindan
Total Variation regularization (TV) is a seminal approach for image recovery. TV involves the norm of the image's gradient, aggregated over all pixel locations. Therefore, TV leads…
Compact Representation of n-th order TGV
Manu Ghulyani, Muthuvel Arigovindan
Although regularization methods based on derivatives are favored for their robustness and computational simplicity, research exploring higher-order derivatives remains limited. Thi…