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Basic Principles of Imaging and Lenses. Light Light Photons ElectromagneticRadiation.

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Presentation on theme: "Basic Principles of Imaging and Lenses. Light Light Photons ElectromagneticRadiation."— Presentation transcript:

1 Basic Principles of Imaging and Lenses

2 Light

3 Light Photons ElectromagneticRadiation

4 These three are the same… Light *pure energy Electromagnetic Waves *energy-carrying waves emitted by vibrating electrons Photons *particles of light

5

6 EM Radiation Travels as a Wave c = 3 x 10 8 m/s

7

8 EM Radiation Carries Energy Quantum mechanics tells us that for photons E = hf where E is energy and h is Planck’s constant. But f = c/ Putting these equations together, we see that E = hc/

9 Electromagnetic Wave Velocity The speed of light is the same for all seven forms of light. It is 300,000,000 meters per second or 186,000 miles per second.

10 The Electromagnetic Spectrum Radio Waves - communication Microwaves - used to cook Infrared - “heat waves” Visible Light - detected by your eyes Ultraviolet - causes sunburns X-rays - penetrates tissue Gamma Rays - most energetic

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12 The Multi-Wavelength Sun X-Ray UV Visible Infrared Radio Composite

13 EM Spectrum Relative Sizes

14 The Visible Spectrum Light waves extend in wavelength from about 400 to 700 nanometers.

15 Transparent Materials Transparent - the term applied to materials through which light can pass in straight lines.

16 Opaque Materials Opaque - the term applied to materials that absorb light.

17 Are clouds transparent or opaque to visible light? –Answer: opaque Are clouds transparent or opaque to ultraviolet light? –Answer: almost transparent

18 Special Things About a Light Wave It does not need a medium through which to travel It travels with its highest velocity in a vacuum Its highest velocity is the speed of light, c, equal to 300,000 km/sec The frequency (or wavelength) of the wave determines whether we call it radio, infrared, visible, ultraviolet, X-ray or gamma-ray.

19 Camera Obscura, Gemma Frisius, 1558 1544 A Brief History of Images

20 Camera Obscura "When images of illuminated objects... penetrate through a small hole into a very dark room... you will see [on the opposite wall] these objects in their proper form and color, reduced in size... in a reversed position, owing to the intersection of the rays". Da Vinci Slide credit: David Jacobs

21 Abu Ali Al-hasen Ibn Alhasen, mathematician, born in Basra, d. 1038 Cairo, claimed he could control the inundations of the Nile, for which caliph Hakim ordered him to Cairo in 1015 or 1017. Realizing his abilities as civil engineer were less than his skill as a mathematician, he feigned insanity to save his head. Until Hakim died in 1021, Alhazen spent his time at the library of Alexandria, writing on geometry, optics, perspective and the camera obscura. Translated into Latin in 1270 and printed as Opticae Thesaurus Alhazani in 1572. MSS at Paris, Oxford, Leyden. An additional MS at the Vatican Library is annotated by Lorenzo Ghiberti of the Florence Baptistry doors (1378 - 1455). Earlier MSS may have existed, for Roger Bacon writes a[bout] optics and the camera obscura before 1266. Alhazen is the first to show how an image is formed on the eye, using the camera obscura as an analog. Alhazen states (in the Latin translation), and with respect to the camera obscura, "Et nos non inventimus ita", we did not invent this. Source: http://www.acmi.net.au/AIC/CAMERA_OBSCURA.html

22 Lens Based Camera Obscura, 1568 1558 1568 A Brief History of Images

23 http://brightbytes.com/cosite/collection2.htmlhttp://brightbytes.com/cosite/collection2.html (Jack and Beverly Wilgus) Jetty at Margate England, 1898. Slide credit: David Jacobs

24 Still Life, Louis Jaques Mande Daguerre, 1837 1558 1837 1568 A Brief History of Images

25 Abraham Lincoln? 1558 1840? 1568 A Brief History of Images

26 Silicon Image Detector, 1970 1558 1837 1568 1970 A Brief History of Images

27 1558 1837 1568 1970 1995 A Brief History of Images Digital Cameras

28 1558 1837 1568 1970 1995 A Brief History of Images Hasselblad HD2-39 2006

29 Pinhole Cameras Pinhole camera - box with a small hole in it Image is upside down, but not mirrored left-to-right Question: Why does a mirror reverse left-to-right but not top-to-bottom?

30 Pinhole and the Perspective Projection (x,y) screenscene Is an image being formed on the screen? YES! But, not a “clear” one. image plane effective focal length, f’ optical axis y x z pinhole

31 Magnification image plane f’ optical axis y x z Pinhole planar scene A B A’ B’ d d’ From perspective projection: Magnification:

32 Properties of Projection Points project to points Lines project to lines Planes project to the whole or half image Angles are not preserved Degenerate cases –Line through focal point projects to a point. –Plane through focal point projects to line

33 Distant Objects are Smaller Note that B’ and C’ labels should be switched. Size is inversely proportional to distance.

34 Parallel Lines Meet Common to draw film plane in front of the focal point. Moving the film plane merely scales the image.

35 Vanishing Points Each set of parallel lines meets at a different point –The vanishing point for this direction Sets of parallel lines on the same plane lead to collinear vanishing points. –The line is called the horizon for that plane Good ways to spot faked images –scale and perspective don’t work –vanishing points behave badly –supermarket tabloids are a great source.

36 Problems with Pinholes Pinhole size (aperture) must be “very small” to obtain a clear image. However, as pinhole size is made smaller, less light is received by image plane. If pinhole is comparable to wavelength of incoming light, DIFFRACTION effects blur the image! Sharpest image is obtained when: pinhole diameter Example: If f’ = 50mm, = 600nm (red), d = 0.36mm

37 The Reason for Lenses

38 Image Formation using (Thin) Lenses Lenses are used to avoid problems with pinholes. Ideal Lens: Same projection as pinhole but gathers more light! i o Gaussian Lens Formula: f is the focal length of the lens – determines the lens’s ability to bend (refract) light f different from the effective focal length f’ discussed before! P P’ f

39 Focus and Defocus Depth of Field: Range of object distances over which image is sufficiently well focused, i.e., range for which blur circle is less than the resolution of the imaging sensor. d aperture diameter aperture Gaussian Law: Blur Circle, b Blur Circle Diameter :

40 Problems with Lenses Compound (Thick) Lens Vignetting Chromatic AbberationRadial and Tangential Distortion thickness principal planes nodal points B A more light from A than B ! Lens has different refractive indices for different wavelengths. image plane ideal actual ideal actual

41 Spherical Aberration Spherical lenses are the only easy shape to manufacture, but are not correct for perfect focus.

42 Two Lens System Rule : Image formed by first lens is the object for the second lens. Main Rays : Ray passing through focus emerges parallel to optical axis. Ray through optical center passes un-deviated. image plane lens 2lens 1 object intermediate virtual image final image Magnification: Exercises: What is the combined focal length of the system? What is the combined focal length if d = 0?

43 Lens systems A good camera lens may contain 15 elements and cost a many thousand dollars The best modern lenses may contain aspherical elements

44 Insect Eye We make cameras that act “similar” to the human eye Fly Mosquito

45 http://www.cas.vanderbilt.edu/bsci111b/eye/human-eye.jpg Human Eye The eye has an iris like a camera Focusing is done by changing shape of lens Retina contains cones (mostly used) and rods (for low light) The fovea is small region of high resolution containing mostly cones Optic nerve: 1 million flexible fibers Slide credit: David Jacobs

46 Human Eye Rods –Intensity only –Essentially night vision and peripheral vision only –Since we are trying to fool the center of field of view of human eye (under well lit conditions) we ignore rods

47 Human Eye Cones –Three types perceive different portions of the visible light spectrum

48 Human Eye Because there are only 3 types of cones in human eyes, we only need 3 stimulus values to fool the human eye –Note: Chickens have 4 types of cones

49 Human Eye vs. the Camera We make cameras that act “similar” to the human eye

50 CCD Cameras http://huizen.ddsw.nl/bewoners/maan/imaging/camera/ccd1.gif Slide credit: David Jacobs


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