This course provides fundamental knowledge about well-established techniques for digital image and video processing. It covers mathematical models used to analyse still images, technology and standards for image and video compression and the basic methods used to design and develop a wide range of imaging solutions. Such solutions relate to the fields of machine vision, imaging graphics, pattern recognition, medical imaging, image and video coding. Digital image representation, Sampling, Quantization, Sub-sampling, Pixel interpolation. Histograms: definition, properties, colour histograms, thresholding, segmentation, equalization. Using Matlab for the coursework. Detailed content: Algebraic transformations, Edge detection, Interest points, JPEG, JPEG2000, JPEG vs. JPEG2000. 2D wavelet decomposition, Tier, Layer, Region of interest, Introduction to colour image processing, Motion pictures, Video coding standards, Predictive coding, H.261, MPEG-1/2/4/AVC/HEVC.

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