10. Discrete wavelength models characterization of human subspace - 2011

10. Discrete wavelength models characterization of human subspace - 2011

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ECE 638: Principles of Digital Color Imaging Systems Lecture 10: Discrete Wavelength Models Characterization of Human Visual Subspace
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Synopsis Review of discrete wavelength model
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Discrete-wavelength trichomatic model Stimulus Sensor response Response of the i -th channel Define Span(S) defines HVS subspace Stack sensor outputs n – 31 × 1 s i – 31 × 1, i=1,2,3 q i = s i T n S = s 1 s 2 s 3 [ ] q = q 1 q 2 q 3 = S T n
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Definition of projection operator Projection operator is a linear operator that extracts the fundamental component of the stimulus , i.e. Equivalent forms of projection operator R n * n 31 × 31 n * = R n (1) R = A A T A ( ) 1 A T (5 a ) R = S S T S ( ) 1 S T (5 b ) R = P * ( P * ) T P * ( ) 1 ( P * ) T (5 c )
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Extraction of fundamental component of stimulus: an imaging systems interpretation A complete imaging system can be thought of as a
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This note was uploaded on 02/19/2012 for the course ECE 638 taught by Professor Staff during the Fall '08 term at Purdue University-West Lafayette.

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10. Discrete wavelength models characterization of human subspace - 2011

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