a pragmatic speckle measurement method
TRANSCRIPT
Dr. Yanning ZhaoVisteon Electronics Germany GmbH, Germany
24.05.2016
A Pragmatic Speckle Measurement Method
Outline
1. Objective
2. Measurement setup
3. Critical parameters
4. Measurement procedure
5. Discussion
6. Conclusions
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Driver information display for ADAS
Advantages of laser projection display
1. Bigger color range
2. Better contrast ratio
3. Tolerance to surface variation
4. Narrow spectral linewidth suitable for holographic application
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Laser speckle
Laser
Camera
Subjective speckles Speckle contrast Image degradation
Measurement setup
Camera
Laser driver
Laser head
Opt. Spectrometer
Screen
Opt. Power meter
Light source: OSRAM laser Piccasso laser module with direct green and blue laser diode.
Camera: OSCAR F-810, AlliedVisionTechnology. (P=2.7μm, Resolution=3272*2469)Objective lens, Pentax TV Lens 75mm C7528-M, f/# = (2.8,32)
Optical spectrum analyzation:Thorlabs SA201 Spectrum Analyzer ControllerThorlabs CCS100 Spectrometer
Optical power meter:Coherent OP-2 VIS mit Coherent FieldMax II
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Critical parameters
Laser source:
Camera:– Pixel size: 2.7µm– Focus length: f = 500mm (constant) – Integration time: depending on the light source intensity, need to be optimized
for individual measurement– Camera position: The position and angle between the paths from laser to screen
and from screen to camera kept constant and smaller than 5°
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Color Wavelength (nm) Optical power (mW)red 639.81 3.77
green 514.30 4.21
blue 451.09 2.15
Critical parameters- f/# number
For a reliable measurement: D > 5 camera pixel length (2.7μm)
Speckle diameter in diffractive limited imaging systems:D = 1.22∙λ∙(f/#) [1][2][3]
Theoretically calculated (f/#): (f/#)Red > 9 (f/#)green > 11
(f/#)blue > 13
Chosen value: f/#=f/#max=32
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f/#=32
[1] J. Keprt, et al., physica 38, 115-125, (1999).[2] E. Archbold, et al., Opt. Acta 17, 883-898, (1970).[3] K. A. Stetson, Opt. Eng. 14, 482-489, (1975).
f/#=16
f/#=6
Measurement procedure
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No
Measurement procedure
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No Saturation point of the camera
Dark current contrast dominating Speckle contrast
resolution increasingSpeckle contrast limited by camera saturation
Dig
ital i
nten
sity
(0-2
25)
Spec
kle
cont
rast
Integration time (µs)
Green laser speckle contrast with integration time
Max IntensitySpeckle Contrast
x 105Optimized integration time = 150 ms
Data processing
Reduce the background illumination inhomogeneity Calculated the intensity histogram of the speckle pattern image
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Original image speckle contrast 0.554
Background removed image speckle contrast: 0.270
Gaussian smoothed background
8-bit Intensity (0-255)
Pixe
l num
bers
Mean value = 49.0Standard deviation = 23.8Speckle contrast = 0.485
Data processing-Speckle contrast measurement result
Calculate the speckle contrast for the whole image and local areas:
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Color With inhomogeneous background Homogenized speckle pattern imagered 97.5% 48.0%
green 50.2% 29.2%
blue 61.3% 45.5%
Original image Dark background Speckle contrast over nxn, Contrastmean=0.274
Discussion - Theoretical laser linewidth calculation
Theoretical speckle contrast C(λ,δλ,cσt ) is determined by:
For normal copy paper as screen σt ≈ 1.681 ps
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[4]
[4] F. Riechert, „Speckle Reduction in Projection Systems“, Universitätsverlag Karlsruhe (2009)
Color Inhomogen-eously illuminated Csp
Homogenized Csp
Calculated linewidthmin (nm)
Calculated linewidthmax
(nm)
Typical datasheet linewidth (nm)
red 97.5% 48.0% 0.06 0.76 0.04green 50.2% 29.2% 0.46 1.38 0.5-2 blue 61.3% 45.5% 0.22 0.43 0.5-2
Conclusions
1. Presented a pragmatic approach to quantify speckle behavior for laser projectors with commercially-available equipment
2. Standardized steps make the comparison of laser projectors’ image quality regarding to speckle fast and convenient
3. Provides the foundation of future work of laser speckle reduction in projection display applications
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Q&A
Thank you for your attention.
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Dr. Yanning Zhao (赵燕宁 )Visteon Electronics Germany GmbHVisteonstr. 4-10, 50170 Kerpen, GermanyPhone: +49 2273 595 4085 Mobile: +49 162 109 1050 E-Mail: [email protected]
www.visteon.com