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BIRFI estimates the IRF via least squares and smoothing penalty from the fluorescence decay itself.
This function crops a hyperspectral image by keeping pixels with intensities in a defined range.
Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.
A Whittaker smoother using penalized LS & iterative imputation to smooth data & fill gaps.