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CS 450: Introduction to Digital Signal and Image Processing

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CS 450: Introduction to Digital Signal and Image Processing. Signal and Image Acquisition ... Silver halide crystals (film) Photoreceptors in our eyes (rods, cones) ... – PowerPoint PPT presentation

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Title: CS 450: Introduction to Digital Signal and Image Processing


1
CS 450 Introduction to Digital Signal and Image
Processing
  • Signal and Image Acquisition

2
Acquisition Devices
  • Aperture
  • Scanning
  • Sensor
  • Quantizer
  • Output storage medium

3
Apertures
  • Point measurements are impossible
  • Have to make measurements using a (weighted)
    average over some aperture
  • time window
  • spatial area
  • etc.

4
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6
Apertures
  • Size of aperture determines resolution
  • Smaller apertures better resolution
  • Larger apertures worse resolution
  • Lenses allow physically larger aperture w/
    effectively smaller one

7
Lenses
Lens
Effective Aperture
Sensor
8
Sensor
  • Converts light (photons) to chemical and/or
    electrical response
  • Examples
  • Silver halide crystals (film)
  • Photoreceptors in our eyes (rods, cones)
  • Charge-coupled device (CCD), etc.

9
Noise
  • Unavoidable random fluctuations from correct
    value
  • Can usually be modeled as a statistical
    distribution with mean at the correct value
  • A measured sample will vary from that mean
    according to the distribution

10
Signal-To-Noise Ratio
  • Measure of how noise free the acquired signal
    is

11
Sources of Noise
  • Quantum noise
  • Sensor inhomogeneity
  • Electrical fluctuations
  • Background noise

May not be random
12
Quantum Noise
  • Discrete nature of light
  • Poisson distributed
  • Signal-to-noise ratio increases with increased
    light

13
Reducing Quantum Noise
  • Turn up the source
  • Larger aperture
  • Collect for longer

14
Noise vs. Resolution
  • Smaller apertures
  • Better resolution
  • Less area -gt fewer photons -gt more noise
  • Larger apertures
  • Worse resolution
  • More area -gt more photons -gt less noise

15
Noise vs. Resolution
  • Example 1 Camera settings
  • F-stop aperture
  • Shutter speed collection time
  • Example 2 Film
  • Larger crystals -gt less resolution but less time
    required (faster)
  • Smaller crystals -gt more resolution but more time
    required (slower)

16
Lenses
Physical (Collecting) Aperture
Lens
Effective Aperture
Sensor
17
Ideal Sensor Response
  • Multiplying the input by a constant multiplies
    the output by the same constant
  • Adding two input signals causes their
    corresponding outputs to add

f(ax by) a f(x) b f(y)
Linearity
18
Gain and Offset
  • Gain proportionality of input to output
  • Offset constant addition to output(also
    sometimes called bias)

slope gain
y-intercept offset
19
Typical Intensity Responses
  • Most approximately linear devices are linear
    over some range
  • Below that range - little or no response
  • Within that range - linear
  • Above that range - saturation
  • Example HD curve for film

20
Transfer Function
  • A way of measuring resolution
  • Instead of using line-pairs, use sine waves
  • Measure the contrast of the response as a
    function of frequency
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