Image Enhancement and Restoration with AI: Unterschied zwischen den Versionen
Zur Navigation springen
Zur Suche springen
Keine Bearbeitungszusammenfassung |
|||
| (Eine dazwischenliegende Version desselben Benutzers wird nicht angezeigt) | |||
| Zeile 1: | Zeile 1: | ||
[[Datei:Frank-Matty-Before.jpg|thumb|rigth|500px|Abb. 1: Image with a systematic error]] | [[Datei:Frank-Matty-Before.jpg|thumb|rigth|500px|Abb. 1: Image with a systematic error]] | ||
<!-- | |||
{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
| Zeile 12: | Zeile 13: | ||
| '''Betreuer''': || [[Benutzer:Ulrich_Schneider| Prof. Dr.-Ing. Schneider]] | | '''Betreuer''': || [[Benutzer:Ulrich_Schneider| Prof. Dr.-Ing. Schneider]] | ||
|} | |} | ||
--> | |||
= Introduction = | = 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. | 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. | ||
| Zeile 22: | Zeile 24: | ||
= Images = | = Images = | ||
SVN-Repository: [https://svn.hshl.de/svn/MATLAB_Vorkurs/trunk/Signalverarbeitung_mit_Kuenstlicher_Intelligenz/Data/ImageEnhancement Data/ImageEnhancement] | |||
---- | ---- | ||
→ 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]] | ||
Aktuelle Version vom 4. März 2025, 08:54 Uhr
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
SVN-Repository: Data/ImageEnhancement
→ zurück zum Hauptartikel: Signalverarbeitung mit MATLAB und Künstlicher_Intelligenz