https://matrixopticslab.github.io/tag/snapshot-compressive-imaging/Snapshot Compressive ImagingHugo Blox Builder (https://hugoblox.com)en-usFri, 21 Mar 2025 00:00:00 +0000https://matrixopticslab.github.io/media/icon_hu17334560117968675030.pnghttps://matrixopticslab.github.io/tag/snapshot-compressive-imaging/https://matrixopticslab.github.io/post/25-03-21-yuanxin/Fri, 21 Mar 2025 00:00:00 +0000https://matrixopticslab.github.io/post/25-03-21-yuanxin/<p>On March 21, 2025, our group was honored to host <strong>Prof. Xin Yuan</strong> from the School of Engineering at <strong>Westlake University</strong> for an engaging academic seminar titled <strong>&ldquo;Snapshot Compressive Imaging: From Theory to Applications.&rdquo;</strong></p> <p>Prof. Yuan is a leading expert in the field of computational imaging and compressive sensing. During his presentation, he provided a comprehensive overview of his team&rsquo;s significant contributions to <strong>Snapshot Compressive Imaging (SCI)</strong>, focusing on:</p> <ul> <li><strong>Hardware-Algorithm Co-design</strong>: Innovative architectures for capturing high-dimensional data (video, hyperspectral) using 2D detectors through coded apertures.</li> <li><strong>Deep Learning for SCI</strong>: The transition from traditional optimization-based reconstruction to state-of-the-art deep learning models (such as PnP-ADMM and Transformers) for real-time, high-quality recovery.</li> <li><strong>Clinical and Industrial Applications</strong>: How SCI technology is revolutionizing ultra-high-speed photography and biomedical imaging, providing new tools for observing fast-evolving biological processes.</li> </ul> <p>The seminar concluded with an interactive session where members of the <strong>Random Matrix Optics Research Group (RMORG)</strong> discussed the potential of combining SCI with <strong>statistical optics</strong> to tackle deep-tissue imaging challenges. We extend our gratitude to Prof. Yuan for sharing his visionary work.</p>