Depth from Spectral Defocus Blur
Autor: | Imari Sato, Shin Ishihara, Antonin Sulc |
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Rok vydání: | 2019 |
Předmět: |
Physics
business.industry Gaussian Multispectral image Physics::Optics 02 engineering and technology 01 natural sciences Refraction law.invention Through-the-lens metering 010309 optics Lens (optics) symbols.namesake Wavelength Optics law Computer Science::Computer Vision and Pattern Recognition 0103 physical sciences Chromatic aberration 0202 electrical engineering electronic engineering information engineering symbols Focal length 020201 artificial intelligence & image processing business |
Zdroj: | ICIP |
Popis: | This paper proposes a method for depth estimation from a single multispectral image by using a lens property known as a chromatic aberration. The chromatic aberration cause that the light passing through the lens is refracted depending on the wavelength. The refraction cause that rays vary their angle depending on the wavelength and generate a change in focal length which leads to a defocus blur for different wavelengths.We show that the chromatic aberration provides clues to recover depth maps from a single multispectral image if we assume that the defocus blur is Gaussian. The proposed method needs only a standard wide-aperture lens which naturally exhibits the chromatic aberration and a multispectral camera. Moreover, we use a simple yet effective depth of field synthesis method to calculate the derivatives and obtain all-in-focus images necessary to approximate spectral derivatives. We verified the effectiveness of the proposed method on various real-world scenes. |
Databáze: | OpenAIRE |
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