Zhang Hao, Ma Xu, Arce Gonzalo R
Appl Opt. 2020 Mar 1;59(7):1924-1938. doi: 10.1364/AO.382854.
The coded aperture snapshot spectral imager (CASSI) acquires three-dimensional spectral images with two-dimensional coded projection measurements. This paper proposes an adaptive design method of the coded apertures, according to a priori knowledge of the target scene, to improve sensing efficiency and imaging performance of the super-resolution CASSI system. The adaptive coded apertures are constructed from the nonlinear thresholding of the grayscale map of the scene. Theoretical proof is provided to demonstrate the superiority of the adaptive coded apertures over traditional random coded apertures. Improvement in reconstruction performance is also verified by a set of simulations based on different spectral data.
编码孔径快照光谱成像仪（CASSI）通过二维编码投影测量获取三维光谱图像。本文根据目标场景的先验知识，提出了一种编码孔径的自适应设计方法，以提高超分辨率CASSI系统的传感效率和成像性能。自适应编码孔径由场景灰度图的非线性阈值处理构建而成。提供了理论证明以说明自适应编码孔径优于传统随机编码孔径。还通过基于不同光谱数据的一组模拟验证了重建性能的提升。
