Enhancement of Three-Dimensional Computational Integral Imaging via Post-Processing with Visibility Coefficient Estimation

Abstract

This paper introduces an enhancement technique for three-dimensional computational integral imaging by utilizing a post-processing method. Despite the advantages of computational integral imaging systems, the image quality of the systems can suffer from scattering artifacts due to occluding objects during image reconstruction. The occluding objects in out-of-focus locations, especially, can offer scattering artifacts to other objects at in-focus locations. In this study, we propose a novel approach to remove scattering artifacts in reconstructed images from computational integral imaging reconstruction (CIIR). Unlike existing methods such as synthetic aperture integral imaging systems with pre-processing methods, our technique focuses on a post-processing method to remove scattering artifacts. Here, the scattering artifacts are analyzed using a dehazing model with spectral analysis. To enhance the quality of reconstructed images, we introduce a visibility model and an estimation method for a visibility coefficient, a crucial parameter of the dehazing model. Our experimental results from computer simulations indicate that the proposed method is superior to existing computational integral imaging reconstruction (CIIR) methods.

Keywords

• three-dimensional integral imaging
• computational integral imaging reconstruction
• scattering artifacts
• image quality enhancement
• dehazing