Image Enhancement and Restoration with AI: Unterschied zwischen den Versionen
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[[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]] | ||
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| '''Betreuer''': || [[Benutzer:Ulrich_Schneider| Prof. Dr.-Ing. Schneider]] | | '''Betreuer''': || [[Benutzer:Ulrich_Schneider| Prof. Dr.-Ing. Schneider]] | ||
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= 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. | ||
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
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