Topic 1 n Three related subfields n Image

Topic 1 n. Three related sub-fields n Image processing n Computer vision n Computer graphics G 52 IVG, School of Computer Science, University of Nottingham 1

Topic 2 n Digital Image Fundamentals n Human visual system n Brightness adaptation n Brightness discrimination n Weber ratio n Mach band pattern n Simultaneous contrast n A simple image model n Sampling and quantization n Color models and Color imaging G 52 IVG, School of Computer Science, University of Nottingham 2

Topic 3 – Part 1/3 n. Intensity Transform n Intensity Transformations n Contrast stretching n Dynamic range compression n Histogram processing n. Histogram equalization G 52 IVG, School of Computer Science, University of Nottingham 3

Topic 3 – Part 2/3 n Spatial Filtering n Smoothing Filters n Low-pass filters n Media filters n Sharpening Filters n Basic high pass filters n Derivative Filtering n Recent advances in image filtering n Bilateral filters G 52 IVG, School of Computer Science, University of Nottingham 4

Topic 3 – Part 3/3 n Image Transforms and Frequency Domain Processing Fourier Transform/Discrete Fourier transform Convolution theorem Sampling theorem Under-sampling and aliasing Filtering in the frequency domain Typical low/high-pass filters and their transfer function n Spatial vs frequency domain filtering n n n G 52 IVG, School of Computer Science, University of Nottingham 5

Topic 4 n Image Compression n n n Fundamentals Coding redundancy Interpixel redundancy Psychovisual redundancy Fidelity criteria Error-Free Compression Variable length coding Huffman Coding Lossy Compression Quantization Transform coding Image compression standards G 52 IVG, School of Computer Science, University of Nottingham 6

Topic 5 n Edge Detection and Image Segmentation n Detection of discontinuities n Point detection n Line detection n Edge detection n Simple global thresholding n Region Splitting and Merging n Region growing G 52 IVG, School of Computer Science, University of Nottingham 7