dip basics
TRANSCRIPT
-
7/28/2019 Dip Basics
1/28
Digital Image ProcessingSpring 2007
Sankalp Kallakuri
[email protected] refererenced
Digital Image Processing by Gonzalez and Woods
Fundamentals of Digital Image Processing by A K Jain
Digital Picture Processing By Rosenfeld and Kak
mailto:[email protected]:[email protected] -
7/28/2019 Dip Basics
2/28
Syllabus
Fundamentals
Image Enhancement [spatial]
Image Enhancement [frequency]
Sampling and Quantization
Image Restoration
Color Image Processing
Image Compression
Image Reconstruction
-
7/28/2019 Dip Basics
3/28
Syllabus
Grading:
Assignments - 40%
Homework - 10%
Mid Term - 20%
Final - 30%
Assignments:
Matlab and C/C++
-
7/28/2019 Dip Basics
4/28
IP 101
Colour images
Grey level images
File formats JPG BMP TIFF
2D representations
Examples of Fields that use IP
X-Rays, UV Imaging, IR Imaging, SatelliteImages, Astronomy, License plates, WaterMarking, Microwaves, MRI, sonograms,TEMs
-
7/28/2019 Dip Basics
5/28
Image Processing System
Image Displays Processors Mass storage
Hard CopySpecialized IP
Hardware
IP software
Image Sensors
network
Problem domainFrom Gonzalez and Woods
-
7/28/2019 Dip Basics
6/28
Human Eye
-
7/28/2019 Dip Basics
7/28
Vision Details
Lens Iris Pupil Cornea Retina
Rods / Cones [distribution number use]
Blind spot
Photopic[bright]/ Scotopic[dim]
Brightness adaptation
Weber Ratio
Ic
I
-
7/28/2019 Dip Basics
8/28
Examples of Brightness perception
Figures from Gonzalez and Woods
-
7/28/2019 Dip Basics
9/28
Light and EM Spectrum
Wavelength = C/ frequency
Energy = h * frequency
Reflected light
Radiance is total amount of energy that flows
from the light source
Luminance is the perceived from light source
Sensor design
-
7/28/2019 Dip Basics
10/28
Image Sensing and Acquisition
Single , Line and Array
Array Strips
Linear , circular
Bayer and RGB Filter type CCDS
From wikipedia
-
7/28/2019 Dip Basics
11/28
Projection
Perspective
Orthographic
-
7/28/2019 Dip Basics
12/28
Image Model
f(x,y)
0 < f(x,y)