Abstract
In this paper, we present a 3D photon counting axially distributed image
sensing system using statistical approaches, such as a maximum-likelihood
estimation and total variation maximum a posteriori expectation
maximization, to enhance the visual quality of 2D photon counting images and
obtain better 3D reconstructed images. Conventional photon counting integral
imaging is implemented by using a lens array, moving an image sensor in lateral
(horizontal and vertical) directions, or using an image sensor array to obtain
elemental images. To avoid lateral movement of the image sensor, axially distributed
sensing is applied to photon counting imaging. A single image sensor is moved
along its optical axis to pickup multi-view 2D images with slightly different
perspectives which are used for 3D visualization. Axially distributed sensing
(ADS) with proper statistical processing can remedy the effect of partial
occlusion of the 3D scene. We show that our method can improve the visual
quality of 2D photon counting images computationally and obtain the enhanced
3D reconstructed images.
© 2013 IEEE
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