Next Article in Journal
Optical DNA Biosensor Based on Square-Planar Ethyl Piperidine Substituted Nickel(II) Salphen Complex for Dengue Virus Detection
Next Article in Special Issue
Survey of Demosaicking Methods for Polarization Filter Array Images
Previous Article in Journal
Development of a Waterproof Crack-Based Stretchable Strain Sensor Based on PDMS Shielding
Previous Article in Special Issue
Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking
Open AccessArticle

Optimized Multi-Spectral Filter Array Based Imaging of Natural Scenes

1
College of Information Science and Engineering, Ningbo University, Ningbo 315000, China
2
College of Computer Science and Technology, Zhejiang University, Hangzhou 310000, China
3
Department of Computer Science, University of California, Irvine, CA 92697-3425, USA
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(4), 1172; https://doi.org/10.3390/s18041172
Received: 2 March 2018 / Revised: 8 April 2018 / Accepted: 9 April 2018 / Published: 12 April 2018
(This article belongs to the Special Issue Snapshot Multi-Band Spectral and Polarization Imaging Systems)
Multi-spectral imaging using a camera with more than three channels is an efficient method to acquire and reconstruct spectral data and is used extensively in tasks like object recognition, relighted rendering, and color constancy. Recently developed methods are used to only guide content-dependent filter selection where the set of spectral reflectances to be recovered are known a priori. We present the first content-independent spectral imaging pipeline that allows optimal selection of multiple channels. We also present algorithms for optimal placement of the channels in the color filter array yielding an efficient demosaicing order resulting in accurate spectral recovery of natural reflectance functions. These reflectance functions have the property that their power spectrum statistically exhibits a power-law behavior. Using this property, we propose power-law based error descriptors that are minimized to optimize the imaging pipeline. We extensively verify our models and optimizations using large sets of commercially available wide-band filters to demonstrate the greater accuracy and efficiency of our multi-spectral imaging pipeline over existing methods. View Full-Text
Keywords: multi-spectral imaging; content independent channel selection; multispectral filter array; demosaicing multi-spectral imaging; content independent channel selection; multispectral filter array; demosaicing
Show Figures

Figure 1

MDPI and ACS Style

Li, Y.; Majumder, A.; Zhang, H.; Gopi, M. Optimized Multi-Spectral Filter Array Based Imaging of Natural Scenes. Sensors 2018, 18, 1172.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop