3D Image Generation From Single Image Using Color Filtered Aperture and 2.1D Sketch-A Computational 3D Imaging System and Qualitative Analysis

A new method for generating 3D images using both disparity parameters due to the color filtered aperture (CFA) and depth alignment of the multi-plane images for an acquired 2D image using a novel computational imaging system is presented. A CFA is created using add-on red, green, and blue color filters in front of the objective lens for a conventional 2D camera system. The multiple plane images are computed using various image regions identified by 2.1D sketch and the corresponding inter-region depth information with the aid of color disparities caused in the acquired 2D image. Our emphasis is to handle possible occlusions in single 2D image regions due to various object features for the acquired scene using ordered multiple plane images and to generate a 3D image by exploiting the order existing in the computed multiple plane images and compositing the region with aligned inter-image region depth information. The simulation and analysis demonstrate the elegance of the 3D image generation. Ultimately, the proposed computational imaging system is not only cost-effective but also an alternative to the stereo-based imaging system, which is not suited for ophthalmic or endoscopic imaging applications.