Image Enhancement and Restoration with AI

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Abb. 1: Image with a systematic error
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

  1. The given images have several errors
    1. moire
    2. light exposure
    3. blurring
  2. Enhance and restore the images with AI

Images

SVN-Repository: Data/ImageEnhancement

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