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<center>[[User:Green26|(alec green)]]</center>
 
<center>[[User:Green26|(alec green)]]</center>
  
Images implicitly demonstrating how humans vision system perceives different ways of interlacing two distinct images.  Pictures are displayed at full resolution here to avoid aliasing effects due to internet browser.  OpenCV used to access images at pixel level.
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Images implicitly demonstrating how humans vision system perceives different ways of interlacing two distinct images.  Note that 'complete' images are likely aliased due to your internet browser, so I posted a zoomed in version of each that hopefully isn't aliased too bad.  You can observe this alias on the 'complete' images by zooming in and out with your browser (usually ctrl+mouse_scroll).  OpenCV was used to access images at pixel level.
  
 
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Revision as of 14:07, 13 February 2013

Image Blending

(alec green)

Images implicitly demonstrating how humans vision system perceives different ways of interlacing two distinct images. Note that 'complete' images are likely aliased due to your internet browser, so I posted a zoomed in version of each that hopefully isn't aliased too bad. You can observe this alias on the 'complete' images by zooming in and out with your browser (usually ctrl+mouse_scroll). OpenCV was used to access images at pixel level.


[1] :: Alternating Pixels, with Aligned Columns

Alternating columns.PNG

Alternating columns zoom.PNG


[2] :: Alternating Pixels, with Misaligned Columns

Alternating pixels.PNG

Alternating pixels zoom.PNG


[3] :: Alpha Blending

Alpha blending.PNG

Alpha blending zoom.PNG

Alumni Liaison

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

Buyue Zhang