Module: Computer Graphics & Image Processing

Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title	Computer Graphics & Image Processing
Module Code	CSC1102 (ITS: CA4007)
Faculty	Engineering & Computing	School	Computing
NFQ level	8	Credit Rating	7.5

Description

To give the student a practical understanding of digital image synthesis and analysis

Learning Outcomes

1. 1DCDF744-B900-0001-E041-E6A51C66E980
2. Understand and analyse the computer graphics pipeline - 3D geometric primitives, 3D transformation, camera transformation, lighting, projection, clipping, rasterisation.
3.
4.
5. 1
6. 1DCDF744-BF49-0001-84D6-111F10021AA3
7. Understand the operation of a 3D computer graphics API - including translation, rotation and scaling of 3D objects, primitives (points, lines, polygons), attributes (size, colour), projection, illumination, animation
8.
9.
10. 2
11. 1DCDF744-C31D-0001-68E6-F20C197783C0
12. Design and program an application using a 3D graphics API - including the various function libraries, the range of functions for describing the 3D scene, projection onto a 2D viewing surface, control of the display window, interactivity including events and callbacks, hidden surface removal
13.
14.
15. 3
16. 1DCDF744-C866-0001-D4B1-16F077051570
17. Analyse digital images using the Fourier Transform algorithm - including an understanding of the space and frequency domains, high-pass and low-pass filtering, texture detection, shifting and scaling
18.
19.
20. 4
21. 1DCDF744-CD58-0001-26D3-190F198015F5
22. Understand and apply the Convolution Theorem - including the concepts of linear shift-invariance, impulse response, the connection between convolution and Fourier Transforms, high- and low-pass filtering viewed as a convolution
23.
24.
25. 5
26. 1DCDF744-D0C7-0001-AE67-19902BB09D00
27. Apply the concepts of sampling and replication - how sampling an image leads to replication in the Fourier domain, using convolution to increase the resolution of an image, anti-aliasing to reduce artifacts when an image is downsampled
28.
29.
30. 6

*Type*	*Hours*	*Description*
Workload	Full time hours per semester
Lecture	36	No Description
Assignment Completion	20	No Description
Directed learning	3	No Description
Independent Study	128	No Description
Total Workload: 187

Section Breakdown
CRN	20389	Part of Term	Semester 2
Coursework	30%	Examination Weight	70%
Grade Scale	40PASS	Pass Both Elements	N
Resit Category	RC1	Best Mark	N
Module Co-ordinator	Gerard Marks	Module Teacher	Hossein Javidnia

Type	Description	% of total	Assessment Date
Assessment Breakdown
Assignment	Modelling a scene using a graphics API	15%	Week 24
Assignment	Analysing an image using a Fourier Transform	15%	Week 30
Formal Examination	End-of-Semester Final Examination	70%	End-of-Semester

Reassessment Requirement Type
Resit arrangements are explained by the following categories; RC1: A resit is available for both^* components of the module. RC2: No resit is available for a 100% coursework module. RC3: No resit is available for the coursework component where there is a coursework and summative examination element. ^* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

The Computer Graphics Pipeline
The various components of the Computer Graphics Pipeline

3D Geometric Transforms using Matrices
The mathematics of translation, scaling, rotation and shear using matrices

Introduction to a 3D graphics API
Progamming using a 3D graphics package

Primitives, Transforms, Colour, Lighting in the API
Understaning the basic building blocks of a 3D scene

The Fourier Transform Algorithm
Understanding how an image may be decomposed into its wave components

The Convolution Theorem
The relationship between the Convolution process and the Fourier Transform

Sampling and Replication
The phenomenon of aliasing, where subsampling an image can lead to replication in its Fourier Transform

Indicative Reading List

Books:

Foley, van Dam, Feiner and Hughes: 1995, Computer Graphics: Principles and Practice, 2nd edition,
Gonzalez, Woods & Eddins: 2015, Digital Image Processing, 3rd edition,

Articles:
None

Other Resources

None