Motion Deblurring Analysis for Underwater Image Restoration

Autor:	M. Vimal Raj, S. Sakthivel Murugan
Rok vydání:	2021
Předmět:	History Deblurring Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Motion (physics) Computer Science Applications Education Computer vision Artificial intelligence Underwater business Image restoration ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Journal of Physics: Conference Series. 1911:012028
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1911/1/012028
Popis:	Exploration of Underwater Images will be a challenging task due to its degradations by haze, blur, colour cast and noise. In order to extract the latent information from the blurred portion, its parameters are estimated and various algorithms were analysed. Initially, length and angle of motion blurred image are estimated. Then, filters and restoration algorithms were implemented for controlling of ringing artifacts, removal of noise and latent information restoration. Some of the model based classical methods were implemented and analysed for underwater motion blurred image restoration.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c191a770df1d1a5f77414bbf340439a https://doi.org/10.1088/1742-6596/1911/1/012028 Zobrazit plný text záznamu