Digital Image Processing

Spring 2006


last updated: 2006/03/29

1. Goal of Course

The interest in Digital Image Processing stems from the two fundamental reasons: one to improve the pictorial information for human interpretations; and second to process image data for storage, transmission, and use of autonomous machine perception.


2. Recommended Textbook

Digital Image Processing, Second Edition, Rafael C. Gonzalez and Richard E. Woods.


3. Instructor

[more details]


Dr. M Asmat Ullah Khan.  (Pakistan)

Contact Information

Tehephone : 031-201-2493
E-mail :
Office :

Electronic & Information Building #B08


4. Tentative Schedule (tentative)



Lecture 1

Introduction, Fundamental steps in Digital Image Processing

Lecture 2

Elements of Visual Perception, Image sampling and quantization.

Lecture 3

Some basic relationships between pixels, some basic gray level transformations.

Lecture 4

Histogram Processing, Basics of Spatial filtering.

Lecture 5

Smoothing spatial filters, sharpening spatial filters.

Lecture 6

Two-dimensional Fourier transform.

Lecture 7

Homomorphic filtering and implementations.

Lecture 8

Image degradation models and Restoration

Lecture 9

Periodic noise reduction in frequency domain


First Project Presentation

Lecture 10

Inverse filtering , Minimum Mean-square filtering, Geometric Transformation.

Lecture 11

Color transformation, Color Enhancement.

Lecture 12

Wavelet and Multi-resolution image Processing


Second Project Presentation

Lecture 13

Image Compression Models

Lecture 14

Elements of Information Theory

Lecture 15

Morphological Image Processing

Lecture 16

Image Segmentation


Third Project Presentation

You can download here:


5. Grading Policy

There will be three projects during the semester for the course. The project will be evaluated by a written report and presentation.


6. Download the syllabus file (MS-WORD) :      [DOWN]