Sensors, Vol. 18, Pages 3174: Segmentation-Based Color Channel Registration for Disparity Estimation of Dual Color-Filtered Aperture Camera

Sensors, Vol. 18, Pages 3174: Segmentation-Based Color Channel Registration for Disparity Estimation of Dual Color-Filtered Aperture Camera
Sensors doi: 10.3390/s18103174
Authors:
Shuxiang Song
Sangwoo Park
Joonki Paik

Single-lens-based optical range finding systems were developed as an efficient, compact alternative for conventional stereo camera systems. Among various single-lens-based approaches, a multiple color-filtered aperture (MCA) system can generate disparity information among color channels, as well as normal color information. In this paper, we consider a dual color-filtered aperture (DCA) system as the most minimal version of the MCA system and present a novel inter-color image registration algorithm for disparity estimation. This proposed registration algorithm consists of three steps: (i) color channel independent feature extraction; (ii) feature-based adaptive weight disparity estimation; and (iii) color mapping matrix (CMM)-based cross-channel image registration. Experimental results show that the proposed method can not only generate an accurate disparity map, but also realize high quality cross-channel registration with a disparity prior for DCA-based range finding and color image enhancement.

Source: Sensors - September 20, 2018 Category: Biotechnology Authors: Shuxiang Song Sangwoo Park Joonki Paik Tags: Article Source Type: research