Image Enhancement and Restoration with AI: Unterschied zwischen den Versionen
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Image Enhancement and Restoration: AI models can improve the quality of an image by enhancing its features (such as contrast and sharpness) or restoring damaged or corrupted images to their original state. This includes tasks like noise reduction, super-resolution, and colorization. | Image Enhancement and Restoration: AI models can improve the quality of an image by enhancing its features (such as contrast and sharpness) or restoring damaged or corrupted images to their original state. This includes tasks like noise reduction, super-resolution, and colorization. | ||
=Task= | =Task= | ||
# The given images have several errors | |||
## moire | |||
## light exposure | |||
## blurring | |||
# Enhance and restore the images with AI | |||
= Images = | = Images = | ||
URL: [https://svn.hshl.de/svn/MATLAB_Vorkurs/trunk/Signalverarbeitung_mit_Kuenstlicher_Intelligenz/Data/ImageEnhancement] | URL: [https://svn.hshl.de/svn/MATLAB_Vorkurs/trunk/Signalverarbeitung_mit_Kuenstlicher_Intelligenz/Data/ImageEnhancement] | ||
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→ zurück zum Hauptartikel: [[Signalverarbeitung_mit_MATLAB_und_Künstlicher_Intelligenz| Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz]] | → zurück zum Hauptartikel: [[Signalverarbeitung_mit_MATLAB_und_Künstlicher_Intelligenz| Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz]] | ||
Version vom 17. Dezember 2024, 11:04 Uhr
| Autor: | Moye Nyuysoni Glein Perry |
| Art: | Project Work |
| Starttermin: | 14.11.2024 |
| Abgabetermin: | 31.03.2025 |
| Betreuer: | Prof. Dr.-Ing. Schneider |
Introduction
Image Enhancement and Restoration: AI models can improve the quality of an image by enhancing its features (such as contrast and sharpness) or restoring damaged or corrupted images to their original state. This includes tasks like noise reduction, super-resolution, and colorization.
Task
- The given images have several errors
- moire
- light exposure
- blurring
- Enhance and restore the images with AI
Images
URL: [1]
→ zurück zum Hauptartikel: Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz