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Depth estimation using spectrally varying defocus blur
Journal of the Optical Society of America A ( IF 1.4 ) Pub Date : 2021-07-13 , DOI: 10.1364/josaa.422059
Shin Ishihara 1 , Antonin Sulc 2 , Imari Sato 1, 3
Affiliation  

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.

中文翻译:

使用光谱变化散焦模糊的深度估计

本文提出了一种通过使用称为色差的镜头特性从单个多光谱图像估计深度的方法。色差导致通过透镜的光根据波长发生折射。折射会导致光线的角度根据其波长和焦距的变化而变化,从而导致不同波长的散焦模糊。我们提出了一种理论,可以从包含色差的单个多光谱图像中的模糊中恢复连续深度图。所提出的方法只需要一个标准的大口径镜头,自然呈现色差,和一个多光谱相机。此外,我们使用简单而有效的景深合成方法来计算导数并获得近似光谱导数所需的全焦图像。
更新日期:2021-08-01
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