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.
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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. Should you require access to the resource, please contact the author… Continue reading High-Dynamic Range Imaging
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).… Continue reading Super Resolution
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. Should you require access to the resource, please contact the author directly.
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.… Continue reading Digital Image Filtering