Module: Computer Graphics and Image Processing

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Computer Graphics and Image Processing
Module Code	CA4007
School	School of Computing
Module Co-ordinator	Semester 1: Denise Freir Semester 2: Denise Freir Autumn: Denise Freir
Module Teachers	Alistair Sutherland Denise Freir Andrew McCarren Brian Davis Hossein Javidnia
NFQ level	8	Credit Rating	7.5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

None

Description

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

Learning Outcomes

1. Understand and analyse the computer graphics pipeline - 3D geometric primitives, 3D transformation, camera transformation, lighting, projection, clipping, rasterisation.
2. 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
3. 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
4. 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
5. 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
6. 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

*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

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

Assessment Breakdown
Continuous Assessment	30%	Examination Weight	70%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Assignment	Modelling a scene using a graphics API	15%	Week 24
Assignment	Analysing an image using a Fourier Transform	15%	Week 30

Reassessment Requirement Type
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

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

Other Resources

None

Programme or List of Programmes

CASE	BSc in Computer Applications (Sft.Eng.)
ECSA	Study Abroad (Engineering & Computing)
ECSAO	Study Abroad (Engineering & Computing)

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