Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Manu Ghulyani"'
Publikováno v:
IEEE Access, Vol 10, Pp 58163-58180 (2022)
Regularization plays a crucial role in reliably utilizing imaging systems for scientific and medical investigations. It helps to stabilize the process of computationally undoing any degradation caused by physical limitations of the imaging process. I
Externí odkaz:
https://doaj.org/article/89e987c03d0a4b269d5b1a342089fb15
Autor:
Muthuvel Arigovindan, Manu Ghulyani
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
Image acquisition in many biomedical imaging modalities is corrupted by Poisson noise followed by additive Gaussian noise. While total variation and related regularization methods for solving biomedical inverse problems are known to yield high qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0c65a812c66ba5d8fce7c7bc4e81e3f
https://pubmed.ncbi.nlm.nih.gov/33095714
https://pubmed.ncbi.nlm.nih.gov/33095714
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 relevant after two decades of extensive research, its extensions that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0658331a05551c9cb01f32d69a8b1259
Autor:
Manu Ghulyani, Muthuvel Arigovindan
Publikováno v:
ISBI
Image acquisition in many biomedical imaging modalities is corrupted by Poisson noise followed by additive Gaussian noise. MLE based restoration methods that use the exact Likelihood function for this mixed model with non-quadratic regularization are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95de4797b82d4ebbb4b053f2bce19c4f
https://doi.org/10.1109/isbi.2018.8363801
https://doi.org/10.1109/isbi.2018.8363801