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Image Formation: Optics and Imagers
Real world Optics Sensor Acknowledgment: some figures by B. Curless, E. Hecht, W.J. Smith, B.K.P. Horn, and A. Theuwissen
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Optics Pinhole camera Lenses Focus, aperture, distortion
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Pinhole Camera “Camera obscura” – known since antiquity Image plane
Object Pinhole camera Image
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Pinhole Camera “Camera obscura” – known since antiquity
First recording in 1826 onto a pewter plate (by Joseph Nicéphore Niepce) Image plane Object Image Pinhole Pinhole camera
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Pinhole Camera Limitations
Aperture too big: blurry image Aperture too small: requires long exposure or high intensity Aperture much too small: diffraction through pinhole blurry image
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Lenses Focus a bundle of rays from a scene point onto a single point on the imager Result: can make aperture bigger
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Ideal Lenses 1/do + 1/di = 1/f Thin-lens approximation
Gaussian lens law: Real lenses and systems of lenses may be approximated by thin lenses if only paraxial rays (near the optical axis) are considered 1/do + 1/di = 1/f
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Camera Adjustments Iris? Focus? Zoom? Changes aperture Changes di
Changes f and sometimes di
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Zoom Lenses – Varifocal
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Zoom Lenses – Parfocal
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Focus and Depth of Field
For a given di, “perfect” focus at only one do In practice, OK for some range of depths Circle of confusion smaller than a pixel Better depth of field with smaller apertures Better approximation to pinhole camera
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Field of View Q: What does field of view of camera depend on?
Focal length of lens Size of imager Object distance?
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Computing Field of View
1/do + 1/di = 1/f tan /2 = ½ xo / do xo / do = xi / di xo di xi do = 2 tan-1 ½ xi (1/f1/do) Since typically do >> f, 2 tan-1 ½ xi / f xi / f
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Aperture Controls amount of light Affects depth of field
Affects distortion (since thin-lens approximation is better near center of lens)
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Aperture Aperture typically given as “f-number” (also “f-stops” or just “stops”) What is f /4? Aperture is ¼ the focal length
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Monochromatic Aberrations
Real lenses do not follow thin lens approximation because surfaces are spherical (manufacturing constraints) Result: thin-lens approximation only valid iff sin
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Monochromatic Aberrations
Consider the next term in the Taylor series, i.e. sin - 3/3! “Third-order” theory – deviations from the ideal thin-lens approximations Called primary or Seidel aberrations
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Spherical Aberration Results in blurring of image, focus shifts when aperture is stopped down Can vary with the way lenses are oriented
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Coma Results in changes in magnification with aperture
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Coma
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Distortion Pincushion or barrel radial distortion
Varies with placement of aperture
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Distortion Varies with placement of aperture
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Distortion Varies with placement of aperture
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Distortion Varies with placement of aperture
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First-Order Radial Distortion
Goal: mathematical formula for distortion If distortion is small, can be approximated by “first-order” formula: Higher-order models possible r’ = r (1 + r2) r = ideal distance to center of image r’ = distorted distance to center of image
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Correcting for Aberrations
Compound lenses use multiple lens elements to “cancel out” aberrations Lenses of different materials 5-15 elements, more for extreme wide angle
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Catadioptrics Catadioptric systems use both lenses and mirrors
Motivations: Systems using parabolic mirrors can be designed to not introduce these aberrations Easier to make very wide-angle systems with mirrors
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Wide-Angle Catadioptric System
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Other Limitations of Lenses
Flare: light reflecting (often multiple times) from glass-air interface Results in ghost images or haziness Worse in multi-lens systems Ameliorated by optical coatings (thin-film interference)
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Other Limitations of Lenses
Optical vignetting: less power per unit area transferred for light at an oblique angle Transferred power falls off as cos4 Result: darkening of edges of image Mechanical vignetting: due to apertures
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Sensors Film Vidicon CCD CMOS
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Vidicon Best-known in family of “photoconductive video cameras”
Basically television in reverse Scanning Electron Beam Electron Gun Lens System Photoconductive Plate
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Digression: Gamma Vidicon tube naturally has signal that varies with light intensity according to a power law: Signal = Eg, g 1/2.5 CRT (televisions) naturally obey a power law with gamma 2.5 Result: standard for video signals has a gamma of 1/2.5
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MOS Capacitors MOS = Metal Oxide Semiconductor Gate (wire)
SiO2 (insulator) p-type silicon
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MOS Capacitors Voltage applied to gate repels positive “holes” in the semiconductor +10V Depletion region (electron “bucket”)
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MOS Capacitors Photon striking the material creates electron-hole pair
+10V +
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Charge Transfer Can move charge from one bucket to another by manipulating voltages
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Charge Transfer Various schemes (e.g. three-phase-clocking) for transferring a series of charges along a row of buckets
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CCD Architectures Linear arrays 2D arrays Full frame
Frame transfer (FT) Interline transfer (IT) Frame interline transfer (FIT)
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Linear CCD Accumulate photons, then clock them out
To prevent smear: first move charge to opaque region, then clock it out
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Full-Frame CCD Other arrangements to minimize smear
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Frame Transfer CCD
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Interline Transfer CCD
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Frame Interline Transfer CCD
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CMOS Imagers Recently, can manufacture chips that combine photosensitive elements and processing elements Benefits: Partial readout Signal processing Eliminate some supporting chips low cost
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Color 3-chip vs. 1-chip: quality vs. cost
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Chromatic Aberration Due to dispersion in glass (focal length varies with the wavelength of light) Result: color fringes near edges of image Correct by building lens systems with multiple kinds of glass
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Correcting Chromatic Aberration
Simple way of partially correcting for residual chromatic aberration after the fact: scale R,G,B channels independently
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Video Depending on the scene, pictures updated at 15–70 Hz. perceived as “continuous” Most video cameras use a shutter, so they are capturing for only part of a frame Short shutter: less light, have to open aperture Long shutter: more light, but motion blur Television uses interlaced video
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Interlacing These rows transmitted first These rows transmitted
1/60 sec later
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Television US: NTSC standard Fields are 1/60 sec.
2 fields = 1 frame frames are 1/30 sec. Each frame has 525 scanlines, of which approximately 480 are visible No discrete pixels along scanlines, but if pixels were square, there would be about 640 visible
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Television NTSC standard PAL standard
Thus, an NTSC frame is about 640480 Color at lower resolution than intensity PAL standard Lower rate: fields at 50 Hz. (frames at 25 Hz.) Higher resolution: about 768576
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