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Noise Characterization from NonRaw CCD Output

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Observe noise in consumer-level digital cameras. What is ultimate ... Nikon Coolpix 4300. Nikon D70. A70, S1 IS, A80 (Canon) Types of Noise. Fixed-Pattern Noise ... – PowerPoint PPT presentation

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Title: Noise Characterization from NonRaw CCD Output


1
Noise Characterization from Non-Raw CCD Output
  • Gregory Ng
  • March 10, 2005

2
Goals
  • Observe noise in consumer-level digital cameras
  • What is ultimate effect on image?
  • Is it unique to particular models?
  • Characterize camera system noise as far as
    possible
  • Define features needed to perform
    characterization tests

3
Overview
  • Cameras
  • Special Considerations
  • Illustrations
  • Noise Statistics
  • Sources
  • What to do about it?

4
Cameras
A70, S1 IS, A80(Canon)
Nikon D70
Canon S30
Quickcam Pro 4000
Nikon Coolpix 4300
5
Types of Noise
  • Fixed-Pattern Noise
  • Random Noise
  • Dark Current
  • Shot Noise
  • Read Noise

S1 IS ISO 50, 1 sec
6
Special Considerations
  • Non-Raw Data
  • Nonlinear output
  • White balancing
  • JPEG compression

7
ISO Settings
ISO 50- Long exposure
ISO 100
  • ISO 400
  • Noise grain
  • JPEG artifacts
  • White balance

steves-digicams.com
8
Noise
- Mosaicing pattern affects noise spatial
characteristics- Amplifier gain affects
intensity
9
Confirming JPEG Noise
  • Blocking Artifacts
  • 2-D FFT
  • Color Quantization
  • Confirmed by S30 (uncompressed)

Simulated Image Noise
FFT of Simulated Noise
10
Noise Statistics S1 IS
Sample Variance (FSCS)
  • Variance
  • Var(R) 4.38
  • Var(G) 2.80
  • Var(B) 9.47
  • Covariance
  • Cov(R,G) 0.568
  • Cov(R,B) 2.181
  • Cov(G,B) 0.575

11
Noise Statistics S30
Sample Variance (FSCS)
  • Variance
  • Var(R) 1.37
  • Var(G) 1.32
  • Var(B) 4.00
  • Covariance
  • Cov(R,G) 0.19
  • Cov(R,B) 0.55
  • Cov(G,B) 0.82

12
Noise Statistics QC4000
Sample Variance (FSCS)
  • Variance
  • Var(R) 4.76
  • Var(G) 4.31
  • Var(B) 7.66
  • Covariance
  • Cov(R,G) 3.40
  • Cov(R,B) 3.78
  • Cov(G,B) 3.17
  • Not JPEG artifacts (4x4 blocks)

13
Noise Statistics A70,A80
Sample Variance (FSCS)
A70
A80
14
  • Radar plot indicates variance, not intensity of
    noise
  • Bayer pattern explains high red, blue variance
  • High Cov(R,B) explained by noise in green pixels

15
Signal-Level Dependence
  • Test Procedure
  • Aim camera at LCD
  • Defocus to avoid pixel artifacts, Moire
  • Manual exposure
  • Monitor gamma irrelevant
  • High contrast (5001)
  • Obtain 20 sample images
  • Crop to give flat histogram

16
Noise
Variance
SNR
17
Comments
  • Noise spatially, chromatically similar across all
    tested cameras
  • S30 noise levels exceptionally low at ISO 50
  • Unexplained drop in noise variance at high signal
    levels

18
Noise Sources
  • Shot noise (sshot sqrt(S))
  • Amplifier noise
  • Ignored
  • Dark current noise
  • Negligible energy 0.15 to 0.16 ADU/channel at
    1 exposure
  • PRNU (not tested)
  • Stuck pixel visually detected
  • Other sources
  • Reset noise
  • Output amplifier noise
  • Flicker noise (1/f noise)
  • Electrical system noise (banding)

(blue channel)
Kodak Application Note MTD/PS-0233CCD Image
Sensor Noise Sources
19
What to do?
  • Fixed-pattern noise -- easy
  • Random noise
  • Lower ISO
  • Average multiple images
  • Gaussian blur (a.k.a. resample)
  • Median filter
  • PSP Edge-preserving smooth

20
Removing Noise
  • Neat Image

21
Neat Image
www.neatimage.com
22
Conclusions
  • ISO measures exposure/noise tradeoff
  • Additional steps needed to get CCD parameters
  • Near photon-limit noise
  • Postprocessing removes much noise
  • Canon S1 IS noise is no different from others
  • IS allows lower-light shooting
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