Image Processing Basics

Related lectures (31)

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Introduces image processing basics, covering vector vs matrix images, RGB color system, grayscale, and image manipulation libraries.

Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.

Covers the practical analysis of X-ray tomography images using Fiji software.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Provides an overview of essential search and sort algorithms in computer science.

Covers computational modeling of microstructures, statistical measures, microstructure reconstruction, and virtual material testing.

Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.

Explores High Dynamic Range imaging, explaining how cameras stack multiple exposed pictures to create HDR images.

Delves into photography style transfer, showcasing how algorithms can transform images to mimic different styles and enhance photos.

Explores discrete histogram processing and spatial operators for image manipulation and noise reduction.