basics.slides.printing

basics.slides.printing - Domain Range sampling quantization...

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CS 450 Signal and Image Basics
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Signals and Functions Signal: a function carrying information Functions have domains and ranges Domain Range
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Signal Domains f(t) f(x,y) f(x,y,z) f(x,y, λ ) f(x,y,t) f(x,y,z,t)
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Signal Ranges Can be scalar values Audio magnitude Black and white images Greylevel images
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Signal Ranges Can be vector values Color (e.g., Red, Green, Blue) MRI (p.d., T1, T2) LANDSAT imaging (7 bands)
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What Do The Values Mean? May be visible light What does “218” mean? May not be quantities we can sense: Electronic communications Range images X-ray imaging (and CT) Ultrasound Magnetic resonance imaging
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Medical Images CT (X-ray) MRI
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Range Images Value related to distance to object
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Domains Continuous Discrete Selection of discrete points is called sampling
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Ranges Continuous Discrete Selection of discrete values is called quantization
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Sampling vs. Quantization
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Unformatted text preview: Domain Range sampling quantization Analog vs. Digital Analog Continuous domain Continuous range Digital Discrete domain (sampled) Discrete range (quantized) Sampling vs. Quantization dots per inch black and white images frames per second 44.1 KHz audio 16-bit audio 24-bit color Sampling vs. Quantization Sampling is usually described as rate or frequency spacing density Quantization is usually described by the number of discrete values the number of bits per sample/pixel Resolution Resolution is the ability to discern detail. This is not the number of samples (pixels). Resolution is determined by the averaging or spreading of information when sampled or reconstructed. Resolution Resolution...
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This note was uploaded on 03/02/2012 for the course C S 450 taught by Professor Morse,b during the Winter '08 term at BYU.

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basics.slides.printing - Domain Range sampling quantization...

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