G52IIP, School of Computer Science, University of Nottingham 1 G52IIP 2011 Summary Topic 1 Overview of the course Related topics Image processing Computer.

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G52IIP, School of Computer Science, University of Nottingham 1 G52IIP 2011 Summary Topic 1 Overview of the course Related topics Image processing Computer vision Computer graphics Digital photography Visualization

G52IIP, School of Computer Science, University of Nottingham 2 G52IIP 2011 Summary Topic 2 Human visual system (HVS) Elements of visual perception Brightness adaptation Brightness discrimination (Perceivable changes at a given adaptation level) Weber ratio Mach band pattern Simultaneous contrast

G52IIP, School of Computer Science, University of Nottingham 3 G52IIP 2011 Summary Topic 2 A simple image model Sampling Quantization

G52IIP, School of Computer Science, University of Nottingham 4 G52IIP 2011 Summary Topic 2 Basics of colour imaging and colour models Trichromacy and human colour vision Colour image formation Colour models, RGB, YIQ, YCbCr

G52IIP, School of Computer Science, University of Nottingham 5 G52IIP 2011 Summary Topic 3 Intensity transform/point based processing Some common intensity transform functions Gamma correction Contrast stretching Dynamic range compression Histogram processing Histogram equalization (global and local)

G52IIP, School of Computer Science, University of Nottingham 6 G52IIP 2011 Summary Topic 3 Spatial filtering Basic operations Low-pass filtering High-pass filtering Unsharp filtering Derivative filtering Bilateral filtering (basic concept)

G52IIP, School of Computer Science, University of Nottingham 7 G52IIP 2011 Summary Topic 3 Image transforms Fourier transform (basic concept, detail math not required) Power Spectrum (basic concept) Convolution, sampling, and convolution thereom Bandwidth, Sample Rate, and Nyquist Theorem Aliasing/anti-aliasing

G52IIP, School of Computer Science, University of Nottingham 8 G52IIP 2011 Summary Topic 3 Frequency domain filtering (fundamental concepts) The meaning of frequency in an image Foundation of frequency domain filtering (convolution theorem) Basic steps of filtering in the frequency domain Low-pass, high-pass, band-pass in the frequency domain

G52IIP, School of Computer Science, University of Nottingham 9 G52IIP 2011 Summary Topic 4 Image compression Redundancies Coding Inter-pixel (spatial) Psychovisual Exploiting redundancies Hoffman coding Predictive coding Sub-sampling Colour quantization

G52IIP, School of Computer Science, University of Nottingham 10 G52IIP 2011 Summary Topic 4 JPEG image compression standard Basic principles of functional building blocks Down-sampling DCT Quantization/quantization table Hoffman coding

G52IIP, School of Computer Science, University of Nottingham 11 G52IIP 2011 Summary Topic 5 Detection of discontinuities Point Line Edge Gradient operators Laplacian of Gaussian (LoG) and Zero Crossing (basic concept, detail math not required)

G52IIP, School of Computer Science, University of Nottingham 12 G52IIP 2011 Summary Topic 5 Image segmentation Thresholding Region growing Splitting and merging

G52IIP, School of Computer Science, University of Nottingham 13 G52IIP 2011 Summary Topic 5 Connected component labelling Understanding of the principle of the algorithm