Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Christopher Scarvelis"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:77-88
Barcode encoding schemes impose symbolic constraints which fix certain segments of the image. We present, implement, and assess a method for blind deblurring and denoising based entirely on Kullback-Leibler divergence. The method is designed to incor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd9fa2f4964c33929dd85d9a2dcdffde
https://doi.org/10.1109/tpami.2019.2927311
https://doi.org/10.1109/tpami.2019.2927311
Publikováno v:
Inverse Problems.
Image deblurring is a notoriously challenging ill-posed inverse problem. In recent years, a wide variety of approaches have been proposed based upon regularization at the level of the image or on techniques from machine learning. We propose an altern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::667dc812df5d7c4c37d58370dd3cd17a
https://doi.org/10.1088/1361-6420/abc32e
https://doi.org/10.1088/1361-6420/abc32e
Publikováno v:
Computer Graphics Forum. Dec2022, Vol. 41 Issue 8, p31-41. 11p. 6 Color Photographs, 5 Diagrams.
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; Jan2021, Vol. 43 Issue 1, p77-88, 12p