Upload
ked19
View
179
Download
0
Embed Size (px)
DESCRIPTION
A summary of the Tog paper, "Resolution Enhancement by Vibrating Displays."
Citation preview
Resolution Enhancement
by Vibrating Displays
ACM TOG 2012
2012/05/15
ked
Authors
Floraine Berthouzoz, Raanan Fattal
Outline
Goal
Hardware
Software
Evaluation
Limits and discussion
Outline
Goal
Hardware
Software
Evaluation
Limits and discussion
Problem
Resolution
Camera: exceeds ten mega-pixels
Display: does not reach half that resolution
Samsung 2233RZ
1680 X 1050
Ricoh GX200
4000 X 3000
Solution
Samsung 2233RZ
1680 X 1050
120Hz
Ricoh GX200
4000 X 3000
Solution
Samsung 2233RZ
1680 X 1050
120Hz
Ricoh GX200
4000 X 3000
4 low-resolution imageshigh-resolution images result
Hardware
Ricoh GX200
4000 X 3000
4 low-resolution imageshigh-resolution images result
Samsung 2233RZ
1680 X 1050
120Hz
Software
Ricoh GX200
4000 X 3000
4 low-resolution imageshigh-resolution images result
Samsung 2233RZ
1680 X 1050
120Hz
Outline
Goal
Hardware
Software
Evaluation
Limits
Video
Implementation
Monitor:
120Hz Samsung SyncMaster
Show:
4 low-resolution images at 30Hz
Frequency is high enough
(critical flicker frequency)
Low-resolution images are similar
(large uniform regions)
Calibration
Monitor:
120Hz Samsung SyncMaster
Show:
4 low-resolution images at 30Hz
Synchronization
Simple optical or electronic sensor
Calibration
Monitor:
120Hz Samsung SyncMaster
Show:
4 low-resolution images at 30Hz
Synchronization
Simple optical or electronic sensor
Vibration radius
Modify weight distance
ok
Outline
Goal
Hardware
Software
Evaluation
Limits and discussion
Static image
P: spread function
T: period in time
L: image
Acquisition of spread function
Spread function is depend on display
For each color channel
Photograph the LCD panel
Acquire at a very high resolution use a macro
magnifying lens
Vibrating image
P: point spread function
T: period in time
: position moving along the trajectory at time t
Lt: images
Vibrating image
n: number of low-resolution images
Li: finite number of images
Solving Li
H: input image
Solving Li
=
S0_H0
S2S1 S3
L3
L2
L1
L0
= H
W L H
S0_H1
S0_HN
Solving Li
=
=>
solve L using Gauss-Seidel iteration
Outline
Goal
Hardware
Software
Evaluation
Limits and discussion
Spectrum analysis
truncation
Evalution
Simulate vibrating images
Photograph the vibrating display
Exposure time = 1/30
Results
Low-resolution images
Results
Outline
Goal
Hardware
Software
Evaluation
Limits and discussion
Limits
Large solving iteration
Range clamping introduce noise
Limits
Contrast reduction
Discussion
Thx.