Topic 1 Three related sub-fields Image processing Computer vision

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Presentation transcript:

Topic 1 Three related sub-fields Image processing Computer vision Computer graphics

Topic 2 Digital Image Fundamentals Human visual system Brightness adaptation Brightness discrimination Weber ratio Mach band pattern Simultaneous contrast A simple image model Sampling and quantization Color models and Color imaging

Topic 3 – Part 1/3 Intensity Transform Intensity Transformations Contrast stretching Dynamic range compression Histogram processing Histogram equalization

Topic 3 – Part 2/3 Spatial Filtering Smoothing Filters Low-pass filters Media filters Sharpening Filters Basic high pass filters Derivative Filtering Recent advances in image filtering Bilateral filters

Topic 3 – Part 3/3 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 Spatial vs frequency domain filtering

Topic 4 Image Compression 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

Topic 5 Edge Detection and Image Segmentation Detection of discontinuities Point detection Line detection Edge detection Simple global thresholding Region Splitting and Merging Region growing