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Digitization. Informatics INFO I101 January 26, 2004 John C.Paolillo. Mars “Anomalies”. Are the photos from various Mars missions faked? Do the existing photos show evidence of civilized life? Do the photos show evidence of martians? Etc. http://rush.digitalchainsaw.com/marspath.html.
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Digitization Informatics INFO I101 January 26, 2004 John C.Paolillo
Mars “Anomalies” • Are the photos from various Mars missions faked? • Do the existing photos show evidence of civilized life? • Do the photos show evidence of martians? Etc.
Raster Image Digitizaztion • Grid • Resolution • Quantization • Bit-depth • Color cf. Vector Graphics
1280 960 Great Sand Dunes, Colorado (IRS satellite image; www.spaceimaging.com)
Digital Artifacts • Pixelation (“jaggies”) • From discretization of the analog signal • shape • color/gray level • Resolution mismatches • cause geometric distortions as error accumulates • Fix: digital interpolation • dithering • anti-aliasing (especially with fonts)
Color Perception 3 Electron guns, aimed at 3 different colors of phosphor dots — analog signals 3 types of retinal sensor cells, sensitive to 3 different bands of light
green cones blue cones red cones Color: Response Patterns Wavelength
The Eight-Color World • Eight colors: black, yellow, magenta, red, cyan, green, blue, white • Three color tubes on a TV monitor: Red, Green, Blue 23=8 • Additive color relations: red+green+blue=white
A Psycho-Physical Encoding RGB 101 100 110 010 011 001 101 110 000 111 Wavelength
More Colors • Recognize more levels in each channel • 2 bits per channel: 26 = 64 colors • 4 bits per channel: 212 = 4096 colors • 8 bits per channel: 224 = 16,777,216 colors • Except for 3-bit and 24 bit colors, most standard colors are not in multiples of 3 bits • 8 bits (256 colors) • 16 bits (32,768 colors) (8 bits is a convenient storage unit)
The Color Table • A table of some convenient number of values • 4, 16, 256, etc. • Each location in the table is mapped to some higher resolution color value (24 bit) • Some locations may be unused (mapped to black) • A monitor typically uses only one color table at a time
Signal Levels • Intensity is analog • Levels are digital How do we convert analog intensity to digital levels? • Quantization: convert analog signals to digital numbers
1 1 1 1 1 1 1 White 111 110 101 Med Gray 100 0 0 0 0 0 0 0 011 010 Black 001 000 Quantization • Evenly divide signal levels • Assign a unique binary number to each recognized level • Match signal with recognized levels and round any intermediate signal level to the nearest recognized level • Report the signal as a list of binary numbers
Counting in Binary • Two values: 0, 1 • Each digit is a power of 2 • 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, ... • Fractions: 0.5, 0.25, 0.125, 0.0625, 0.03125, ... • positive, negative, rational, real, imaginary... We’ll stick to whole numbers for now
Binary counting • Start with zero: 00000 • Add 1: 00001 • Adding 1 more carries: 00010 • Add 1: 00011 • Adding 1 more carries 2x: 00100 • Add 1: 00101 Etc. OR: • Divide the full range into 2 halves, 0 (low) and 1 • Divide each range again for each next bit • Stop with the last bit