Block-wise focal stack image representation for end-to-end applications.

Abstract

In optical imaging systems, the depth of field (DoF) is generally constricted due to the nature of optical lens. The limited DoF produces partially focused images of the scene. Focal stack images (FoSIs) are a sequence of images that focused on serial depths of a scene. FoSIs are capable of extending DoF of optical systems and provide practical solutions for computational photography, macroscopic and microscopic imaging, interactive and immersive media. However, high volumes of data remains one of the biggest obstacles to the development of end-to-end applications. In order to solve this challenge, we propose a block-wise Gaussian based representation model for FoSIs and utilize this model to solve the problem of coding, reconstruction and rendering for end-to-end applications. Experimental results demonstrate the high efficiency of proposed representation model and the superior performance of proposed schemes.