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'''Problem 2. ''' (50 pts)  
 
'''Problem 2. ''' (50 pts)  
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Let&nbsp;'''<span class="texhtml">''r''<sub>0</sub>(λ), &nbsp;<span class="texhtml">''g''<sub>0</sub>(λ)</span></span>'''&nbsp;,&nbsp;<span style="line-height: 19.9200000762939px;">and&nbsp;</span>''b''<sub style="font-family: serif; line-height: 1.5em;">0</sub><span style="font-family: serif; line-height: 1.5em;">(λ)</span><span style="line-height: 19.9200000762939px;">&nbsp;be the CIE color matching functions for red, green, and blue primaries at 700 nm, 546.1 nm, and 435.8 nm, respectively, and let <math>[r, g, b]</math>&nbsp;be the corresponding CIE tristimulus values.&nbsp;</span>
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Furthermore, let&nbsp;<math>f_1(\lambda)</math>,&nbsp;<math>f_2(\lambda)</math>, and&nbsp;<math>f_3(\lambda)</math>&nbsp;be the spectral response functions for the three color outputs of a color camera. So for each pixel of the camera sensor, there is a 3-dimensional output vector given by&nbsp;<math>F=[F_1, F_2, F_3]^t</math>, where
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Let&nbsp;'''<span class="texhtml">''r''<sub>0</sub>(λ), &nbsp;<span class="texhtml">''g''<sub>0</sub>(λ)</span></span>'''&nbsp;, and&nbsp;<span class="texhtml">''b''<sub>0</sub>(λ),</span><br>  
 
Let&nbsp;'''<span class="texhtml">''r''<sub>0</sub>(λ), &nbsp;<span class="texhtml">''g''<sub>0</sub>(λ)</span></span>'''&nbsp;, and&nbsp;<span class="texhtml">''b''<sub>0</sub>(λ),</span><br>  
  
 
[[Category:ECE]] [[Category:QE]] [[Category:CNSIP]] [[Category:Problem_solving]] [[Category:Image_processing]]
 
[[Category:ECE]] [[Category:QE]] [[Category:CNSIP]] [[Category:Problem_solving]] [[Category:Image_processing]]

Revision as of 19:17, 10 November 2014


ECE Ph.D. Qualifying Exam

Communication, Networking, Signal and Image Processing (CS)

Question 5: Image Processing

August 2013



Question

Problem 1. (50 pts)


Problem 2. (50 pts)

Let r0(λ),  g0(λ) , and b0(λ) be the CIE color matching functions for red, green, and blue primaries at 700 nm, 546.1 nm, and 435.8 nm, respectively, and let $ [r, g, b] $ be the corresponding CIE tristimulus values. 

Furthermore, let $ f_1(\lambda) $$ f_2(\lambda) $, and $ f_3(\lambda) $ be the spectral response functions for the three color outputs of a color camera. So for each pixel of the camera sensor, there is a 3-dimensional output vector given by $ F=[F_1, F_2, F_3]^t $, where


Let r0(λ),  g0(λ) , and b0(λ),

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Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

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