Segmentation-Based Color Channel Registration for Disparity Estimation of Dual Color-Filtered Aperture Cameraopen access
- Authors
- Song, Shuxiang; Park, Sangwoo; Paik, Joonki
- Issue Date
- Oct-2018
- Publisher
- MDPI
- Keywords
- color channel registration; disparity estimation; computational camera system
- Citation
- SENSORS, v.18, no.10
- Journal Title
- SENSORS
- Volume
- 18
- Number
- 10
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/765
- DOI
- 10.3390/s18103174
- ISSN
- 1424-8220
1424-3210
- Abstract
- 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.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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