1. Digital Image Processing 0909.452.01/0909.552.01 Fall 2001
Lecture 1 September 10, 2001
Shreekanth Mandayam
ECE Department
Rowan University

2. Plan What is an image? Digital image processing Course logistics
Mathematical representation of monochromatic images
What is a digital image?
Digital image processing
Fundamental steps
Why do we need this?
Course logistics
Self-Assessment Test
Sampling & Quantization
Image Preprocessing
Pre-Lab 1

3. Images
row
column x y
f(x, y)
Sample
Quantize

4. Digital Image y x
Gray
Level
f(x,y)

5. Fundamental Steps* Knowledge Base Representation & Description
Preprocessing
Segmentation
Problem
Domain
Knowledge
Base
Image
Acquisition
Recognition &
Interpretation
Result
*Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992

6. DIP: Details

7. DIP: Course Logistics

8. Sampling & Quantization
demos/demo1sampling_and_quantization/demo_sampling.m
Quantization
demos/demo1sampling_and_quantization/demo_quant.m

9. Image Preprocessing Enhancement Restoration Inverse filtering
Wiener filtering
Spatial
Domain
Spectral
Domain
Filtering
>>fft2/ifft2
>>fftshift
Point Processing
>>imadjust
>>histeq
Spatial filtering
>>filter2

10. Point Processing (Intensity Transformation)
s(x,y) = T{ r(x,y)}
Transformed
Gray Level
Original
Gray Level
Transformation
Function
>>imadjdemo
>>imadjust

11. Pre-Lab 1: Intro to Matlab IP Toolbox

12. Summary