Abstract
A novel scheme for implementing spectral constraints into a three-dimensional (3-D) image reconstruction model is presented. This approach, based on selecting measurements relating to spatial areas of maximum heterogeneity, makes spectral imaging computationally efficient and feasible in 3-D
© 2006 Optical Society of America
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