Image restoration of confocal microscopy based on deconvolution algorithms for biological structure

Autor:	Takashi Murayama, Yoshitaka Kimori, Isao Yamashita, Michifumi Yoshioka, Masaru Teranishi
Rok vydání:	2015
Předmět:	Blind deconvolution Depth of focus business.industry Wiener deconvolution Convolution law.invention Confocal microscopy law Microscopy Computer vision Artificial intelligence Deconvolution business Algorithm Image restoration Mathematics
Zdroj:	ASCC
Popis:	In general, an image degraded by blurring or defocusing is restored by deconvolution using a substantially constant PSF. However, in the case of a confocal laser microscope, there is a problem that the PSF varies according to the depth of focus. In order to overcome this problem, we adopt the iterative approach to estimate the PSF by a blind deconvolution. In order to confirm the effectiveness of our approach, we make some experiments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::72db7c7d972d580e461afd6ae6d487b6 https://doi.org/10.1109/ascc.2015.7244664 Zobrazit plný text záznamu