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Taylor series-based generic demosaicking algorithm for multispectral image
Tonghan, Jia1,2; Zhang, Geng1; Liu, Xuebin1
2017
会议名称Applied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017
会议录名称AOPC 2017: Optical Sensing and Imaging Technology and Applications
卷号10462
会议日期2017-06-04
会议地点Beijing, China
出版者SPIE
产权排序1
摘要

Using coated mosaic video spectrometer to collect multispectral image which reduce the spectral information redundancy and data volume greatly and achieve real-Time data transmission conditions. The mosaic video spectrometer imaging technique use a similar mosaic template to capture all the pixels and output a two-dimensional multi-spectral image with dozens of spectral information. The image is divided into a certain size of matrix in its field, and each pixel in the pixel matrix is only for one wavelength information response and every pixel response for different wavelength. The size of the pixel matrix block depends on the number of spectral segments, which results in a low spatial resolution of the single spectral segment image and the spectral information of each pixel absenting severely. Therefore, to reconstruct the complete multi-spectral image, we must estimate and interpolate the missing spatial information and spectral information by demosaicking multispectral image. In this paper, we present a novel demosaicking method to produce the high resolution multispectral image and reconstruct missing spectrum information in high accuracy. The proposed method computes the first-And second-order derivatives of the original single multispectral image to measure the geometry of edges in the image and the spectrum value of missing pixel. Two metrics are used to evaluate the generic algorithm, including the structural similarity index-measurement system (SSIM) for reconstruction performance and the procession time. Experimental results show that the demosaicked images present higher SSIM (more than 0.9) and comparable calculated time performance as traditional ways. This algorithm brings the greatest advantage that make up for the weakness of mosaick multispectral image and reduce the data transmission process cost and storage needs. © 2017 SPIE.

作者部门光谱成像技术实验室
DOI10.1117/12.2285052
收录类别EI ; ISTP
ISBN号9781510614055
语种英语
ISSN号0277786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/29923
专题光谱成像技术实验室
作者单位1.Xi'an Institute Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, 710119, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式
GB/T 7714
Tonghan, Jia,Zhang, Geng,Liu, Xuebin. Taylor series-based generic demosaicking algorithm for multispectral image[C]:SPIE,2017.
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