This lecture overviews Digital Image Processing that has many applications in improving image visual quality. It covers the following topics in detail: Histogram Equalization, BW Image Pseudocoloring, BW Image Halftoning, Image Mosaicking, Image Watermarking, Template Matching, Background Subtraction, DNN Image Denoising.
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Digital Image Filtering
This lecture overviews Image Filtering, which is very important to ensure high image quality and image denoising. It covers the following topics in detail: Image noise. 2D FIR filters, including Moving average filters. Spatial filters. Median filter algorithms. Digital filters based on order statistics, e.g., max/min filters and L-filters, Adaptive order statistic filters. Anisotropic Diffusion. Image interpolation.
Computational Aesthetics
This lecture overviews Computational Aesthetics that has many applications in visual arts and computer graphics. It covers the following topics in detail: Neuroaesthetics. Computational Aesthetics. Critical problems in aesthetics. Connection with Deep Learning. Facial Attractiveness Prediction Paintings – Generative art.
Image Quality
This lecture overviews Image Quality that has many applications in image filtering, processing, transmission, streaming and TV. It covers the following topics in detail: Image Quality Assessment Methods, Subjective Quality Assessment Methods, Objective Quality Assessment, Image Quality Metrics, Full reference Quality Assessment-Metrics, Experimental Results, Reduced reference Quality Assessment, No reference Quality Assessment-Metrics, Error Sensitivity, Factors of image quality in cameras.
Colour Theory
This lecture overviews Colour Theory that has many applications in digital image/video processing and analysis, multimedia sites and in digital TV. It covers the following topics in detail: Light wavelength, Human Visual System (rods, cones), color opponency HVS models. Colour cameras, Bayer filters, multichannel/hyperspectral/infrared/ultraviolet images.Brightness/Chromaticity, RGB/XYZ/UCS/UVW/Lab colour coordinate systems. Colour TV, YIQ/YCbCr color coordinate systems,… Continue reading Colour Theory
Image Perception
This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations. It covers the following topics in detail: Human Vision Modelling, Weber ratio, Mach Phenomenon. Mathematical neuron model. HVS has band-pass frequency characteristics, Laplacian-of-Gaussian retina modelling. V1 visual cortex and Gabor functions. Spatial HVS models,… Continue reading Image Perception