Depth estimation using spectrally varying defocus blur
| Autor: | Shin Ishihara, Antonin Sulc, Imari Sato |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Physics
business.industry Image quality Multispectral image Astrophysics::Instrumentation and Methods for Astrophysics Digital imaging Physics::Optics Refraction Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials law.invention Lens (optics) Optics law Depth map Computer Science::Computer Vision and Pattern Recognition Chromatic aberration Focal length Computer Vision and Pattern Recognition business |
| Zdroj: | Journal of the Optical Society of America A. 38:1140 |
| ISSN: | 1520-8532 1084-7529 |
| Popis: | This paper proposes a method to estimate depth from a single multispectral image by using a lens property known as chromatic aberration. Chromatic aberration causes light passing through a lens to be refracted depending on the wavelength. The refraction causes the angle of rays to vary depending on their wavelength and a change in focal length, which leads to a defocus blur for different wavelengths. We propose a theory to recover a continuous depth map from the blur in a single multispectral image that includes chromatic aberration. The proposed method needs only a standard wide-aperture lens, which naturally exhibits 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 |
| Externí odkaz: |
|