| Lehrinhalte |
(*)Concept and generation of digital images, discrete transforms for digital images, restoration of images, geometric operations on digital images, digital image enhancement,segmentation of images, feature extraction from images, classification of objects in images, image recognition using convolutional neural networks (CNNs), object detection and segmentation using R-CNNs, semantic segmentation using FCNs, JPEG-standards for image compression, digital watermarking.
Project: students have to choose, analyze, and document (in groups) a practical
digital image processing system.
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