Proposed Algorithm Overview
Abstract
Multispectral imaging is highly demanded for precise color reproduction and for various computer vision applications. Recently, a single-camera one-shot multispectral imaging (SCOS) system that uses a single image sensor equipped with a multispectral filter array (MSFA) has been proposed. In this paper, we develop optimal spectral sensitivity functions (SSFs) for the SCOS system, in which multispectral image quality depends strongly on the performance of multispectral demosaicking. First, we propose a simple optimization algorithm that can incorporate a high-performance multispectral demosaicking algorithm. Then, we experimentally demonstrate that the optimized SSFs by our proposed algorithm improve the performance of spectral reflectance estimation and the accuracy of color reproduction.
References
- Optimal Spectral Sensitivity Functions for a Single-Camera One-Shot Multispectral Imaging System
Yusuke Monno, Toshihiro Kitao, Masayuki Tanaka and Masatoshi Okutomi
Proceedings of IEEE International Conference on Image Processing (ICIP2012), pp.2137-2140, September, 2012. [PDF]
Results
| Scene | Wave length |
Ground truth | Non-optimized  |
Optimized without demosaicking |
Proposed  |
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500nm |  |
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| 600nm |  |
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| 700nm |  |
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500nm |  |
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| 600nm |  |
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| 700nm |  |
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sRGB |  |
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sRGB |  |
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