Digital Image Processing

EEEN60161 Digital Image Processing 15 Semester 1 Postgraduate Taught Level 6 Hujun Yin Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 <div> BRIEF DESCRIPTION</div><ul> <li> Introduction to digital image processing: light, cameras and the human visual system; digital systems for image capture and processing.</li> <li> Colour representation and encoding: RGB; YUV; HSV.</li> <li> The 2D Discrete Fourier Transform and Discrete Cosine Transform.</li> <li> Image encoding:  quantization and image compression; relevant standards, e.g. JPEG; H264 and HDTV.</li> <li> Basic filtering operations: image smoothing; noise reduction and sharpening.</li> <li> Image enhancement: histogram-based equalisation; noise smoothing; edge detection; Hough Transform; morphological  operators (erosion and dilation).</li> <li> Applications: Object detection, recognition and tracking; motion estimation and 3-D reconstruction.</li> <li> Real-time Implementation: Hardware and software platforms.</li></ul> <div> BRIEF DESCRIPTION</div><ul> <li> Introduction to digital image processing: light, cameras and the human visual system; digital systems for image capture and processing. </li> <li> Colour representation and encoding: RGB; YUV; HSV. </li> <li> The 2D Discrete Fourier Transform and Discrete Cosine Transform. </li> <li> Image encoding:  quantization and image compression; relevant standards, e.g. JPEG; H264 and HDTV. </li> <li> Basic filtering operations: image smoothing; noise reduction and sharpening. </li> <li> Image enhancement: histogram-based equalisation; noise smoothing; edge detection; Hough Transform; morphological  operators (erosion and dilation). </li> <li> Applications: Object detection, recognition and tracking; motion estimation and 3-D reconstruction. </li> <li> Real-time Implementation: Hardware and software platforms. </li></ul> The course unit unit aims to:<ul><li>Provide a thorough and complete introduction to the subject of modern digital image processing.</li><li>Emphasise the links between the theoretical foundations of the subject and the essentially practical nature of its realisation.</li><li>Encourage and understanding through the use of algorithms and real world examples,</li><li>Provide useful skills through detailed practical laboratories, which explore digital image processing software and hardware.</li></ul> On successful completion of the course, a student will be able to:ILO 1: Demonstrate a clear and detailed knowledge of the founding principles of digital image processing, and understand how the various fundamental equations both operate and are constructed.ILO 2: Program and debug existing image processing hardware platforms, and devise, code and test off-line and real-time image processing algorithms, both using PCs and dedicated image processing hardware.ILO 3: To recognise the different classes of problem in digital image processing, and to decide upon appropriate methodologies in their solution.ILO 4: Perform literature searching; scientific report writing; use of graphing and presentation packages; project design; team work; use of the Blackboard system discussion forum. 0 Other 100% Unseen Written ExaminationThe form of the examination: 4 questions, answer all questionsLength of examination: 3 hoursCalculators are permittedThe unseen written examination forms 70% of the total unit assessmentCourse Work- LaboratoriesThe number of laboratories: 3Length of each laboratory: 6 hoursTwo of the laboratories are assessed by a lab reportThe laboratories form 30% of the total unit mark. . MSc Comm and Signal Processing MSc Comm and Signal Processing PGDT Taught Component Optional MSc Comm & Signal Process w ER MSc Comm & Sign Proc w ER PGDT Taught Component Optional N <ul><li>Digital image processing by Gonzalez, Rafael C. Pearson/Prentice Hall, 2008.</li><li>Fundamentals of digital image processing: a practical approach with examples in MATLAB by Solomon, Chris. Wiley-Blackwell, 2011.</li><li>Fundamentals of digital image processing by Jain, Anil K. Prentice-Hall International, 1989.</li></ul> Lectures 30 Practical classes & workshops 9 Tutorials 6 0 105