Archives: Resources

This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography. It covers the following topics in detail: Inverse Filters, Wiener Filters, Wavelet Restoration, Blind Deconvolution, Color Image Restoration, Neural Image Restoration, De-Fogging and De-Raining.

This lecture overviews High-Dynamic Range Imaging that has many applications in digital photography. It covers the following topics in detail: HDRI Software Requirements, HDRI Terminology, Two Early HDR Implementations, First Modern HDR Implementation, HDR Methods: CRF based, SNR based, Variance based, NN based HDRI.

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.

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.

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.