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ENDS 375

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ENDS 375 Foundations of Visualization 9/20/05 Notes Image Statistics Useful input into computational algorithms measures of image quality basis for automated ... – PowerPoint PPT presentation

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Title: ENDS 375


1
ENDS 375
  • Foundations of Visualization
  • 9/20/05 Notes

2
Image Statistics
  • Useful input into computational algorithms
  • measures of image quality
  • basis for automated decisions about images

3
Image Statistics
  • Arithmetic Mean
  • mean sum(Pxy)/(xy)
  • Variance
  • variance (sum(PxyPxy)/(xy)-meanmean)

4
Image Statistics
  • Standard Deviation
  • stdev square root (variance)
  • Histogram
  • two axis plot of pixel values vs number of
    pixels
  • basis for deciding - contrast range, overall
    brightness, thresholding, ...

5
(No Transcript)
6
Point Operations on Images
  • Numeric Transformation
  • (often not reversible)
  • Transfer Functions
  • Often implemented using look-up tables

7
Specific Operations
  • Unity
  • Invert

8
Specific Operations
  • Contrast Adjustment
  • Higher
  • Lower

9
Specific Operations
  • Threshold
  • Gamma

10
Color Modification
  • Less
  • Red
  • More
  • Yellow

11
Arithmetic Operations
  • Two or more images
  • Cxy Axy lt operation gt Bxy
  • Addition
  • Subtraction
  • Averaging, etc ...

12
Logical Operations
  • and, or
  • nand, nor
  • xor, xnor

13
Image Averaging
  • Add corresponding pixels from multiple images
    then divide by the number of images

14
Alpha Blending
  • Cxy AxyMxy
  • Bxy(max -Mxy )
  • Blends two images
  • Need a matte image
  • Basis for image compositing

15
Compositing
16
Readings
  • Course notes section 1-7
  • Course notes section 1-8
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