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The Fundamentals of Digital
Image Processing
22/6/2020 to 26/2/2020
Day 5 : Applications
•Steps in Digital Image Processing Components
•Elements of Visual Perception
•Image Sensing and Acquisition
•Image Sampling and Quantization
•Relationships between pixels
•Color image fundamentals - RGB, HSI models,
• Two-dimensional mathematical preliminaries, 2D
transforms - DFT, DCT.
Digital Image Processing
Chapter 1: Introduction
What Is Digital Image Processing?
 A sample
digital image.
662*640*256.
x
y
 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
 A sample
color
digital
image,
800*600
*24 bits
 Pixel: The elements of a digital
image.
Pixels
 Some applications
 FUJIFILM: Searching faces, Fuji.htm
 License plates, Licence.htm
 Tracking people, Hand.htm
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.
 Better quality
 15-tone equipment
 From computers, meaningful image
processing tasks appeared.
 Medical imaging
 Remote Earth resource observations
 Astronomy
 High-energy plasmas and electron
microscopy
Examples of Fields that Use Digital
Image Processing
 Electromagnetic energy spectrum
Gamma-
Ray
Imaging
X-ray
Imaging
Imaging in
the
Ultraviolet
Band
Imaging in
the Visible
and Infrared
Bands
 Remote sensing
 Weather
Observa
tion,
visible
and
infrared
bands
 Infrared
imaging
 Automated
visual
inspection
Imaging in the Microwave Band
Imaging in the Radio Band
 MRI
Examples in which Other Imaging
Modalities Are Used
 Sound
 Ultrasound
 Electron Microscope
 Images generated by computers
Fundamental Steps in Digital Image
Processing
 Methods whose input and output
are images
 Methods whose outputs are
attributes extracted from those
images
 Image operations
 Spatial filtering
 Filtering in
the
frequency
domain
 Image
restoration
 Color image processing
Components of an Image Processing
System

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Introduction to DIGITAL IMAGE PROCESSING - DAY 1