College of Engineering

Courses

Digital Image Processing

Course Code CCEN405 Th 4 Pr 4 CrHrs 6

This course provides an introduction to basic concepts, methodologies and algorithms of digital image processing focusing on the following two major problems concerned with digital images: (1) image enhancement and restoration for easier interpretation of images, and (2) image analysis and object recognition. Some advanced image processing techniques (e.g., wavelet and multiresolution processing) will also be studied in this course. The primary goal of this course is to lay a solid foundation for students to study advanced image analysis topics such as computer vision systems, biomedical image analysis, and multimedia processing & retrieval.

Understand basic components of digital image processing “DIP” with the following issues: 

  • Give the students a general understanding of the fundamentals of digital image processing.
  • Introduce the student to analytical tools which are currently used in digital image processing as applied to image information for human viewing.
  • Develop the ability of students to apply these tools in the laboratory in image restoration, enhancement and compression.

ئەرکەکانی قوتابی

به‌رپرسیارێتی قوتابی سه‌باره‌ت به‌ کۆرسه‌که‌ :

ئاماده‌بوونی قوتابیان له‌ هەموو وانه‌کاندا
ئاماده‌بوونی قوتابیان له‌ هەموو تاقیکردنه‌وه‌کاندا
ئەنجامدانى ئەرکەکانى دواى دەوام وەک راپۆرت و ووتار نووسین

ڕێگه‌ی وانه‌‌ ووتنه‌وه‌

مامۆستا ڕێگه‌ی وانه‌‌ ووتنه‌وه‌ ئەم ئامرازە بکار دهێنت ‌:‌

داتاشۆ و پاوه‌رپۆینت.
ته‌خته‌ی سپی.
سمارتبۆردیان‌.
مه‌لزه‌مه‌.

Distribution of Marks

First Semester

Mid-Year

Second Semester

Final Exam

Final Mark

Theoretical

Practical

Theoretical

Practical

Theoretical

Practical

Theoretical

Practical

100%

20

40

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5

10

20

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5

References

SN

“Digital Image Processing”, Rafael C.Gonzalez and Richard E. Woods, Pearson Education, 2017, 4nd edition.

1

“Digital Image Part1 and Part2”, By: Huiyu Z., Jiahua W.; and Jianguo Z.; 1st edition, 2010.

2

"Image Processing Principles and Applications" ; By: Tinku Acharya, and  Ajoy K. Ray; 2005 by John Wiley & Sons, Inc.

3

“Fundamentals of Image Processing”; By: Ian T. Young, and others; 1998 by I.T. Young, J.J. Gerbrands and L.J. van Vliet.

4

Subject

Date

Week

To

From

Digital Image Processing – Introduction

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First

-          Example of Digital Image Processing

Example of Operation in Digital Image Processing

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Second

Applications of Digital Image Processing

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Third

Key Stages in Digital Image Processing

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Fourth

Mathematics for Digital Image Processing

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Fifth

Structure of Image

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Sixth

Histograms & Dynamic Range

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Seventh

 Invers, Threshold, Log & exp Transformations

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Eighth

 Contrast Enhancement: Auto Adjustment Contrast

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Ninth

Histogram Equations & Piecewise Histogram

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Tenth

Gamma Correction & Alpha Blending

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Eleventh

Image Resizing: Nearest Neighbor

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Twelfth

Image Resizing: Bilinear Interpolation

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Thirteenth

Spatial & Frequency Domains

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Fourteenth

Review

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Fifteenth

Mid-term exams

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Sixteenth

Spatial Filter, Convolution & Correlations

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Seventeenth

Smoothing, Averaging & Blurred Filter

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Eighteenth

Noise Reduce: Median, Weighted Median & Gauss

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Nineteenth

Sharping: Laplacian ¼ & 1/8

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Twentieth

Edge Detection: Sobel, Robert & Prewitt

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Twenty-First

Color Image Type Introduction

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Twenty-Second

True Color & Indexed Organization

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Twenty-Third

Scalar Color Quantization

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Twenty-Fourth

Gray Level and RGB color

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Twenty-Fifth

Color Space HSV

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Twenty-Sixth

Color Space HLS

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Twenty-Seventh

TV Color Spaces- YUV,YIQ, YCbCr

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Twenty-Eighth

Frequency Domain Introduction

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Twenty-Ninth

Fourier Transform

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Thirtieth

Low pass Filter

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Thirty-First

High pass Filter

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Thirty-Second

Review

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Thirty-Third

Final Examinations (First-Sitting)

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Final Examinations (Second-Sitting)

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