Digital Image Processing involves representing and processing digital images. A digital image is composed of pixels with finite, discrete intensity values. It can represent grayscale images with one value per pixel or color images with multiple values per pixel. Digital image processing techniques are used in applications like face recognition, license plate reading, and tracking objects. They involve operations on images like filtering, restoration, and extracting attributes. Key components of an image processing system include image acquisition, preprocessing, enhancement/analysis, and output.

1. Digital Image Processing
Chapter 1: Introduction

2. What Is Digital Image Processing?
 A sample
digital
image.
662*640*2
56.
x
y

3.  f(x,y): A two-dimensional function,
where x and y are spatial
coordinates, and the amplitude of f
at any pair of coordinates (x,y) is
called the intensity or gray level of
the image at that point.
 x size: 662, y size: 640, gray levels:
256
 Digital image: x, y, and the
amplitude values of f are all finite,
discrete quantities

4.  A sample
color
digital
image,
800*600
*24 bits

5.  Pixel: The elements of a digital
image.
Pixels

6.  Some applications
 FUJIFILM: Searching faces, Fuji.htm
 License plates, Licence.htm
 Tracking people, Hand.htm

7. The Origins of Digital Image
Processing
 One of the first applications of
digital images was in the newspaper
industry, when pictures were first
sent by submarine cable between
London and New York.

8.  Better quality

9.  15-tone equipment

10.  From computers, meaningful image
processing tasks appeared.

11.  Medical imaging
 Remote Earth resource observations
 Astronomy
 High-energy plasmas and electron
microscopy

12. Examples of Fields tat Use Digital
Image Processing
 Electromagnetic energy spectrum

13. Gamma-
Ray
Imaging

14. X-ray
Imaging

15. Imaging in
the
Ultraviolet
Band

16. Imaging in
the Visible
and Infrared
Bands

17.  Remote sensing

19.  Weather
Observa
tion,
visible
and
infrared
bands

20.  Infrared
imaging

22.  Automated
visual
inspection

24. Imaging in the Microwave Band

25. Imaging in the Radio Band
 MRI

27. Examples in which Other Imaging
Modalities Are Used
 Sound

28.  Ultrasound

29.  Electron Microscope

30.  Images generated by computers

31. Fundamental Steps in Digital Image
Processing
 Methods whose input and output
are images
 Methods whose outputs are
attributes extracted from those
images

33.  Image operations

34.  Spatial filtering

35.  Filtering in
the
frequency
domain

36.  Image
restoration

37.  Color image processing

38. Components of an Image Processing
System

39. Some Good Websites
 An overview of DIP fundamentals:
http://www.imageprocessingplace.c
om/root_files_V3/tutorials.htm
by I.T. Young, J.J. Gerbrands, and
L.J. van Vliet
CVIPtools at SIUE
http://www.ee.siue.edu/CVIPtools/ex
amples.php