| CODE | CCE5224 | |||||||||
| TITLE | Digital Image Processing | |||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | |||||||||
| MQF LEVEL | 7 | |||||||||
| 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. The first part of the study-unit treats the image as a 2D signal and describes different filtering techniques that can be used to restore the quality of an image. The classical image enhancement problem will be presented here where and the Wiener filter will be derived. Intensity transformations, Histogram processing, Convolution & linear filtering, Non-linear filtering and frequency domain filtering techniques will be presented here including the Gabor Filter. This part concludes by deriving the relationship between spatial and frequency filtering. The second 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 handle color images. This part also covers basic 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. The third part of this course will focus on the compression of an image. Discrete Cosine Transform (DCT) and Wavelet compression schemes such as JPEG and JPEG 2000 will be described in some detail here. 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; - Understand the fundamental principles of image compression. 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: Main Texts: - Gonzalez & Woods, "Digital Image Processing", 3rd edition, Prentice-Hall, 2008. |
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| STUDY-UNIT TYPE | Lecture | |||||||||
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| LECTURER/S | Reuben Farrugia |
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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 description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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