Galvis Laura, Lau Daniel, Ma Xu, Arguello Henry, Arce Gonzalo R
Appl Opt. 2017 Aug 1;56(22):6332-6340. doi: 10.1364/AO.56.006332.
Coded aperture compressive spectral imagers (CSI) sense a three-dimensional data cube by using two-dimensional projections of the coded and spectrally dispersed input image. Recently, it has been shown that by combining spectral images acquired from a CSI sensor and a complementary sensor leads to substantial improvement in the quality of the fused image. To maximally exploit the benefits of the complementary information, the spatial structure of the coded apertures must be optimized inasmuch as these structures determine the sensing matrix properties and, accordingly, the quality of the reconstructed images. This paper proposes a method to use side information from a red-green-blue sensor to design the coded aperture patterns of a CSI imager, such that more detailed spatial images and wavelength profiles can be reconstructed. The side information is used as the input of an edge detection algorithm to approximate a version of the edges of the spectral images. The coded apertures are designed to follow the spatial structure determined by the estimated spectral edges, such that the high frequencies are promoted, leading to more detailed reconstructed spectral images. Simulations and experimental results indicate that when compared with random coded aperture structures, the designed coded apertures based on side information obtain up to 3 dB improvement in the quality of the reconstructed images.
编码孔径压缩光谱成像仪（CSI）通过对编码且光谱色散的输入图像进行二维投影来感知三维数据立方体。最近的研究表明，将从CSI传感器获取的光谱图像与互补传感器相结合，可显著提高融合图像的质量。为了最大程度地利用互补信息的优势，必须优化编码孔径的空间结构，因为这些结构决定了传感矩阵的特性，进而决定了重建图像的质量。本文提出了一种利用来自红-绿-蓝传感器的辅助信息来设计CSI成像仪编码孔径图案的方法，以便能够重建更详细的空间图像和波长轮廓。该辅助信息用作边缘检测算法的输入，以近似光谱图像边缘的一个版本。编码孔径的设计遵循由估计的光谱边缘确定的空间结构，从而增强高频信息，进而得到更详细的重建光谱图像。仿真和实验结果表明，与随机编码孔径结构相比，基于辅助信息设计的编码孔径在重建图像质量上提高了多达3dB。
