© 2002 by yu hen hu 1 ece533 digital image processing image acquisition

16
© 2002 by Yu Hen Hu ECE533 Digital Image Processing Image Acquisition

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Page 1: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu1ECE533 Digital Image Processing

Image Acquisition

Page 2: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu2ECE533 Digital Image Processing

Electromagnetic Spectrum

The wavelength required to “see” an object must be the same size or smaller than the object

Page 3: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu3ECE533 Digital Image Processing

Image Sensors

Page 4: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu4ECE533 Digital Image Processing

Sensor Strips

Page 5: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu5ECE533 Digital Image Processing

Chapter 2: Digital Image FundamentalsChapter 2: Digital Image Fundamentals

Page 6: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu6ECE533 Digital Image Processing

Chapter 2: Digital Image FundamentalsChapter 2: Digital Image Fundamentals

Page 7: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu7ECE533 Digital Image Processing

Chapter 2: Digital Image FundamentalsChapter 2: Digital Image Fundamentals

Page 8: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu8ECE533 Digital Image Processing

Digital Image Representation

An image is a function defined on a 2D coordinate f(x,y).

The value of f(x,y) is the intensity.

3 such functions can be defined for a color image, each represents one color component

A digital image can be represented as a matrix.

Page 9: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu9ECE533 Digital Image Processing

Spatial and Gray Level Resolution

Spatial resolution: » # of samples per unit

length or area» DPI: dots per inch

specifies the size of an individual pixel

» If pixel size is kept constant, the size of an image will affect spatial resolution

Gray level resolution:» Number of bits per

pixel» Usually 8 bits» Color image has 3

image planes to yield 8 x 3 = 24 bits/pixel

» Too few levels may cause false contour

Page 10: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu10ECE533 Digital Image Processing

Same Pixel Size, different Sizes

Page 11: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu11ECE533 Digital Image Processing

Same Size, Different Pixel Sizes

Page 12: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu12ECE533 Digital Image Processing

Varying Gray Level Resolution

Page 13: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu13ECE533 Digital Image Processing

Size, Quantization Levels and Details

Isopreference curves

Page 14: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu14ECE533 Digital Image Processing

Aliasing: Moiré Effect

Page 15: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu15ECE533 Digital Image Processing

Zooming Zooming

Page 16: © 2002 by Yu Hen Hu 1 ECE533 Digital Image Processing Image Acquisition

© 2002 by Yu Hen Hu16ECE533 Digital Image Processing

Zooming and Interpolation