juefeix@andrew.cmu.edu
Sept.14 2010
(1)Input color image
(2)Gray scale
(3)FFT2 of the input image
(4)Mask
(5)Remove high frequency using mask
Because low frequencies are centerd in the FFT image so that by zeroing out the rest could remove the high frequencies.
(6)Remove high frequency using conv2 with Gaussian Mask
(1)Sharpened image
(1)Two input images
I extract the second channel (G channel) in the second image (Hamerschelag Hall) to replace the G channel in the first image
(2)Result ghost image
(1)Input dark image
(2)Gray scale
(3)Histogram Equalized image
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End