Image Denoising and Optimal Power Flow Tutorial

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Description

This lecture covers the topic of image denoising, focusing on recovering a true image from a noisy one by staying close to the data and ensuring sensible pixels. It also introduces the concept of optimal power flow, which aims to minimize production costs while satisfying demand and operational constraints in a power system.

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Related lectures (32)

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Covers denoising and reconstructing images using total variation minimization and discusses the visual effects of different regularization strengths.

Image Denoising: Formulation and Key Concepts

Covers the process of image denoising and introduces key concepts for the first black hole image.

Image Processing: Smoothing and Filtering

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Image Processing Techniques

Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.

Phase Transitions in Signal Processing

Explores phase transitions in signal processing, demonstrating their impact on signal reconstruction and the application of threshold algorithms in image denoising.