Multispectral Imaging Using Multiplexed Illumination

By Jong-Il Park, Moon-Hyun Lee, M. Grossberg, Shree K. Nayar. IEEE International Conference on Computer Vision, 2007

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Statistics of real-world hyperspectral images (2011, background): “The present study is enabled by recent advances in hyperspectral capture systems, which include those based on spatial-multiplexing with generalized color filter arrays [41], spatial-multiplexing with a prism [11], timemultiplexing with liquid crystal tunable filters [13, 17], and time-multiplexing ”
Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum (2010, methodology): “Note that the spectral reflectance distribution of most real-world materials is known to be smooth and must be positive [15].”
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction (2021, methodology): “CAVE dataset is composed of 32 hyperspectral images at a spatial size of 512×512.”
What is the space of spectral sensitivity functions for digital color cameras? (2013, neutral): “Jun Jiang† Dengyu Liu† Jinwei Gu† Sabine Süsstrunk‡ † Rochester Institute of Technology, ‡Ecole Polytechnique Fédérale de Lausanne”
High-resolution hyperspectral imaging via matrix factorization (2011, background): “For example, in medical image analysis, full in- ∗This work was done while the first author was visiting Microsoft Research Asia. formation about the scene radiance can be used to detect anomalies that are not distinguishable from RGB images alone.”