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Study-Unit Description
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CODE CCE5224

 
TITLE Digital Image Processing

 
LEVEL 05 - Postgraduate Modular Diploma or Degree Course

 
ECTS CREDITS 5

 
DEPARTMENT Communications and Computer Engineering

 
DESCRIPTION The aim of this study-unit is to provide students with the general principles of image processing techniques that are suitable to tackle real world problems in various application domains, including but not limited to biometrics, medical, image and video communications and robotics. The first part of the study-unit treats the image as a 2D signal and describes filtering in the spatial and frequency domains. This part focuses on grayscale images and is later extended to color images.

More specifically, Intensity transformations, Histogram processing, Convolution & linear filtering, Non-linear filtering, are covered in spatial filtering and the 2D discrete Fourier transform is presented as a frequency domain technique. Gabor Filters are also explained here. This part concludes by deriving the relationship between spatial and frequency filtering. In the second part the task of image restoration, manipulation and enhancement is tackled. This part first introduces the concept of color image processing, color representation, color space conversions and color transformations which are used extensively when considering color images. All the theoretical background given in the previous part is extended to color handle images. More advanced filtering and image restoration techniques are considered here including the use of the Wiener Filter. This part also covers color and image segmentation techniques. This study-unit concludes by introducing edge detection, edge orientation, line joining techniques, which can be used as features in object identification. This part is concluded by introducing morphological operations.

Study-unit Aims:

This study-unit aims at providing a solid understanding in image processing techniques. The study-unit augments the theoretical background through practical implementations in current software frameworks used in this domain. Moreover, more advanced topics involving state-of-the-art techniques give an outlook on future advancements in this area.

Learning Outcomes:

1. Knowledge & Understanding:
By the end of the study-unit the student will be able to:

- Understand fundamentals and more advanced methods in Digital Image Processing;
- Develop ability to automatically process an image for enhancement, manipulation or any other processing methods.

2. Skills:
By the end of the study-unit the student will be able to:

- Identify various methods that can be used in Image Processing (Enhancement, Manipulation, Analysis);
- Analyse and evaluate the performance of the methods employed.

Main Text/s and any supplementary readings:

- Gonzalez & Woods, "Digital Image Processing", 3rd edition, Prentice-Hall, 2008.

 
STUDY-UNIT TYPE Lecture

 
METHOD OF ASSESSMENT
Assessment Component/s Resit Availability Weighting
Assignment Yes 30%
Examination (2 Hours) Yes 70%

 
LECTURER/S Reuben Farrugia

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the study-unit description above applies to the academic year 2017/8, if study-unit is available during this academic year, and may be subject to change in subsequent years.
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13th Edition of EY’s Annual Attractiveness Event

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The 13th Edition of EY’s Annual Attractiveness event will be held on 25th October 2017 at the InterContinental Hotel,

St. Julians. It is titled "Thinking without the box: disruption, technology and FDI".

 

The  students' invitation and more information can be found here

The conference programme can be found here

 

 
 

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