EECE253_01_Intro

EECE253_01_Intro - EECE/CS 253 Image Processing Lecture...

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EECE/CS 253 Image Processing Richard Alan Peters II Department of Electrical Engineering and Computer Science Fall Semester 2011 Lecture Notes: Introduction and Overview This work is licensed under the Creative Commons Attribution-Noncommercial 2.5 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/2.5/ or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.
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Introduction and Overview This presentation is an overview of some of the ideas and techniques to be covered during the course. 25 August 2011 1999-2011 by Richard Alan Peters II 2
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1. Image formation 2. Point processing and equalization 3. Color correction 4. The Fourier transform 5. Convolution 6. Image sampling, warping, and stitching 7. Spatial filtering 8. Noise reduction 9. Mathematical morphology 10. High dynamic range imaging 11. Image compression Topics 25 August 2011 1999-2011 by Richard Alan Peters II 3
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Wallace and Gromit Wallace Gromit likes cheese reads Electronics for Dogs http://www.aardman.com/wallaceandgromit/index.shtml Wallace and Gromit will be subjects of some of the imagery in this introduction. 25 August 2011 1999-2011 by Richard Alan Peters II 4
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Image Formation 25 August 2011 1999-2011 by Richard Alan Peters II 5
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Image Formation 25 August 2011 1999-2011 by Richard Alan Peters II 6
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Image Formation projection through lens image of object 25 August 2011 1999-2011 by Richard Alan Peters II 7
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Image Formation projection onto discrete sensor array. digital camera 25 August 2011 1999-2011 by Richard Alan Peters II 8
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Image Formation sensors register average color. sampled image 25 August 2011 1999-2011 by Richard Alan Peters II 9
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Image Formation continuous colors, discrete locations. discrete real- valued image 25 August 2011 1999-2011 by Richard Alan Peters II 10
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Digital Image Formation: Quantization continuous color input discrete color output continuous colors mapped to a finite, discrete set of colors. 25 August 2011 1999-2011 by Richard Alan Peters II 11
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Sampling and Quantization pixel grid sampled real image quantized sampled & quantized 25 August 2011 1999-2011 by Richard Alan Peters II 12
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Digital Image a grid of squares, each of which contains a single color each square is called a pixel (for picture element ) Color images have 3 values per pixel; monochrome images have 1 value per pixel. 25 August 2011 1999-2011 by Richard Alan Peters II 13
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Color Images Are constructed from three intensity maps. Each intensity map is pro- jected through a color filter ( e.g., red, green, or blue, or cyan, magenta, or yellow) to create a monochrome image. The intensity maps are overlaid to create a color image. Each pixel in a color image is a three element vector. 25 August 2011 1999-2011 by Richard Alan Peters II 14
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Color Images On a CRT 25 August 2011 1999-2011 by Richard Alan Peters II 15
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Point Processing original + gamma - gamma + brightness - brightness original + contrast - contrast histogram EQ histogram mod 25 August 2011 1999-2011 by Richard Alan Peters II 16
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Color Processing requires some knowledge of how we see colors 25 August 2011 1999-2011 by Richard Alan Peters II
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EECE253_01_Intro - EECE/CS 253 Image Processing Lecture...

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