Digital Image Compression
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.
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Digital Image Restoration
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.
Should you require access to the resource, please contact the author directly.
High-Dynamic Range Imaging
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.
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Super Resolution
This lecture overviews Super Resolution that has many applications in digital imaging, display and printing. It covers the following topics in detail: Multi-Image Super Resolution, MISR in Frequency Domain, Statistical Approach, Single-Image Super Resolution in Spatial Domain (Nearest Neighbor Interpolation, Bilinear Interpolation, Bicubic Interpolation). Deep Learning Super Resolution Methods (Super Resolution GANs, Enhanced GANs, MISR with Residual Attention Network).
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Digital Image Processing
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.
Should you require access to the resource, please contact the author directly.