Hyperspectral video restoration using optical flow and sparse coding
Hyperspectral video acquisition is a trade-off between spectral and temporal resolution. We present an algorithm for recovering dense hyperspectral video of dynamic scenes from a few measured multispectral bands per frame using optical flow and sparse coding. Different set of bands are measured in each video frame and optical flow is used to register them. Optical flow errors are corrected by exploiting sparsity in the spectra and the spatial correlation between images of a scene at different...[Show more]
|Collections||ANU Research Publications|
|Source:||Optics Express. 20.10 (2012): 10658-10673|
|Mian&HartleyHyperspectralvideorestoration2012.pdf||1.56 MB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.