Covariance extension and spectral estimation form a foundational framework in the analysis and synthesis of stochastic processes. At its core, covariance extension refers to the problem of ...
Digital imaging that includes spectral estimation can overcome limitations of typical digital photography, such as limited color accuracy and constraints to a predefined viewing condition or a ...
Spectral reflectance estimation seeks to recover the full wavelength-dependent reflectivity profile of a surface from the limited sensor channels of a digital imaging system. By modelling the ...
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