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Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title Computer Graphics & Image Processing
Module Code CSC1102 (ITS: CA4007)
Faculty Computing School Engineering & 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. 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


WorkloadFull time hours per semester
TypeHoursDescription
Lecture36No Description
Assignment Completion20No Description
Directed learning3No Description
Independent Study128No Description
Total Workload: 187
Section Breakdown
CRN20389Part of TermSemester 2
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC1Best MarkN
Module Co-ordinatorGerard MarksModule TeacherHossein Javidnia
Assessment Breakdown
TypeDescription% of totalAssessment Date
AssignmentModelling a scene using a graphics API15%Week 24
AssignmentAnalysing an image using a Fourier Transform15%Week 30
Formal ExaminationEnd-of-Semester Final Examination70%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

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