中国激光, 2014, 41 (s1): s109001, 网络出版: 2014-07-03
对光学压缩光谱成像数据保真度的研究
Research on the Data Fidelity of Optical Compressive Spectral Imaging
成像系统 压缩感知 空间编码 数据重建 多帧拍摄 图像质量 imaging systems compressed sensing spatial coding data reconstruction multi-frame shoot image quality
摘要
光学压缩光谱成像方法通过拍摄所得的压缩图像重建景物的三维数据立方体,具有降低数据采集量、能对景物实施凝视拍摄以及提高成像信噪比等优点。受压缩成像方法的限制,由单帧压缩图像重建数据的保真度有限,限制了压缩光谱成像的图像质量和应用发展。基于压缩感知理论,拓展空间编码光学压缩光谱成像物理模型,在变编码空间光调制作用下实施多帧拍摄,经由多帧压缩图像采用最优化算法高保真的重建数据立方体。以AVIRIS成像数据构建模拟场景,开展多帧拍摄空间编码光学压缩光谱成像仿真,采用全波段图像均方根误差定量评价重建数据保真度。实验结果表明,多帧拍摄成像重建数据的保真度提高,图像清晰度提升,光谱曲线的偏差减小。
Abstract
The optical compressive spectral imaging method reconstructs the spectral data cube of the shooting scenery from acquired compressive image data, which has the features such as reducing acquisition data amount, realizing snapshot imaging for certain field of view, increasing signal-to-noise ratio and so on. Due to the mechanism restriction of compressive imaging, the reconstructed spectral data from the single compressive image suffer from fidelity attenuation, which leads to the decrease of the image quality and application ability. Based on the compressive sensing theory, the spatial coding optical compressive spectral imaging system model is developed and multi-frame shooting under variable spatial light modulation conditions is carried out so that high-fidelity cubic data is reconstructed from a certain number of compressive images with the support of optimization method. The AVIRIS imaging data is used to simulate the scenery so that the multi-frame spatial coding optical compressive spectral imaging simulation is carried out and the whole-spectral-region root-mean-square-error is adopted to evaluate the data fidelity quantitatively. The experimental results indicate that with the multi-frame shooting method the data fidelity improves, the imaging quality increases and the spectral curve deviation drops.
陈宇恒, 季轶群, 周建康, 陈新华, 沈为民. 对光学压缩光谱成像数据保真度的研究[J]. 中国激光, 2014, 41(s1): s109001. Chen Yuheng, Ji Yiqun, Zhou Jiankang, Chen Xinhua, Shen Weimin. Research on the Data Fidelity of Optical Compressive Spectral Imaging[J]. Chinese Journal of Lasers, 2014, 41(s1): s109001.