Underwater Depth Estimation and Image Restoration Based on Single Images
Autor: | Paulo Drews, Mario F. M. Campos, Erickson R. Nascimento, Silvia Silva da Costa Botelho |
---|---|
Rok vydání: | 2016 |
Předmět: |
Backscatter
Computer science Scattering business.industry Attenuation 020206 networking & telecommunications 02 engineering and technology Computer Graphics and Computer-Aided Design Light scattering Computer graphics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Underwater Absorption (electromagnetic radiation) business Software Image restoration |
Zdroj: | IEEE Computer Graphics and Applications. 36:24-35 |
ISSN: | 1558-1756 0272-1716 |
Popis: | In underwater environments, the scattering and absorption phenomena affect the propagation of light, degrading the quality of captured images. In this work, the authors present a method based on a physical model of light propagation that takes into account the most significant effects to image degradation: absorption, scattering, and backscattering. The proposed method uses statistical priors to restore the visual quality of the images acquired in typical underwater scenarios. |
Databáze: | OpenAIRE |
Externí odkaz: |