Liu Haiyan, Chang Xuyang, Yan Jun, Guo Pengyu, Xu Dong, Bian Liheng
Opt Lett. 2023 Aug 15;48(16):4392-4395. doi: 10.1364/OL.498188.
The single-pixel imaging technique uses multiple patterns to modulate the entire scene and then reconstructs a two-dimensional (2-D) image from the single-pixel measurements. Inspired by the statistical redundancy of natural images that distinct regions of an image contain similar information, we report a highly compressed single-pixel imaging technique with a decreased sampling ratio. This technique superimposes an occluded mask onto modulation patterns, realizing that only the unmasked region of the scene is modulated and acquired. In this way, we can effectively decrease 75% modulation patterns experimentally. To reconstruct the entire image, we designed a highly sparse input and extrapolation network consisting of two modules: the first module reconstructs the unmasked region from one-dimensional (1-D) measurements, and the second module recovers the entire scene image by extrapolation from the neighboring unmasked region. Simulation and experimental results validate that sampling 25% of the region is enough to reconstruct the whole scene. Our technique exhibits significant improvements in peak signal-to-noise ratio (PSNR) of 1.5 dB and structural similarity index measure (SSIM) of 0.2 when compared with conventional methods at the same sampling ratios. The proposed technique can be widely applied in various resource-limited platforms and occluded scene imaging.
单像素成像技术使用多种图案来调制整个场景，然后根据单像素测量值重建二维（2-D）图像。受自然图像统计冗余的启发，即图像的不同区域包含相似信息，我们报告了一种具有降低采样率的高度压缩单像素成像技术。该技术将遮挡掩膜叠加到调制图案上，从而实现仅对场景的未遮挡区域进行调制和采集。通过这种方式，我们在实验中可以有效减少75%的调制图案。为了重建整个图像，我们设计了一个由两个模块组成的高度稀疏输入和外推网络：第一个模块从一维（1-D）测量值重建未遮挡区域，第二个模块通过从相邻未遮挡区域进行外推来恢复整个场景图像。仿真和实验结果验证了对25%的区域进行采样就足以重建整个场景。与相同采样率下的传统方法相比，我们的技术在峰值信噪比（PSNR）方面提高了1.5 dB，在结构相似性指数测量（SSIM）方面提高了0.2。所提出的技术可广泛应用于各种资源受限平台和遮挡场景成像。
