R01942056 Cobra D01943032 JJLin Problem Problem Original image Blurred image Myopia Goal Compensated image Clear image Precompute Original image Myopia Model Myopia httpspieorgImagesGraphicsPublicationsFG04P23myopiahyperopiajpg ID: 348696
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Slide1
Neo-compensate-myopia-automatic-compensate-system
R01942056 Cobra
D01943032
JJLinSlide2
ProblemSlide3
Problem
Original
image
Blurred
image
MyopiaSlide4
Goal
Compensated
image
Clear
image
Pre-compute
Original
image
MyopiaSlide5
ModelSlide6
Myopia
http://spie.org/Images/Graphics/Publications/FG04_P23_myopia_hyperopia.jpgSlide7
Deriving Myopia Filter
d
kdSlide8
Deriving Myopia Filter
Circular
uniform filterSlide9
Simplified Myopia Filter
Box
filter
2-passSlide10
Inverse (De-convolution)
Inverse box filter are usually non-invertibleSlide11
Inverse (De-convolution)
Use an energy function
De-convolution
Output ~ OriginalSlide12
ResultSlide13
Optical Myopia Simulation
Canon 500D
Out-of-focus
1/40, 5.6f, ISO 800
14.4”LCDSlide14
Result - Lena
Gold (original)
Ours
Original
In-focus
Out-of-focus
(Same focal length)Slide15
Result – Lena
Gold (original)
Ours
Original
In-focus
Out-of-focus
(Same focal length)Slide16
Result – Suzumiya
Haruhi
Gold (original)
Ours
Original
Out-of-focus
(Same focal length)
In-focusSlide17
Result - Suzumiya
Haruhi
Gold (original)
Ours
Original
In-focus
Out-of-focus
(Same focal length)Slide18
DiscussionSlide19
Limit
Overflow is a serious problem (0-255)
Compensated
image
Myopia
Clear
imageSlide20
Limit
Overflow is a serious problem (0-255)
Compensated
image
Myopia
One pixel
overflows
Box
noise
+
+
Clear
imageSlide21
Q&A