Institute of Information Theory and Automation

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RNDr. Jan Kotera, Ph.D.

Research interests: 
image deblurring/restoration, image compression, watermarking, computer vision
Publications ÚTIA: 

In 10/2021-12/2022 postdoc in Technische Universität Wien (TUW), Computer Vision Lab (CVL) with Prof. Robert Sablatnig, working on EU H2020 project "AI Stream" (learned image compression).

2023-11-24 14:35

Person detail

Duration: 2023 - 2023
The project focuses on the protection of video and image content and looks at ways to prevent illegal sharing. It will explore how artificial intelligence methods can circumvent these protections and the challenges of applying protection to large volumes of data.
Duration: 2013 - 2015
Digital image acquisition is often accompanied with its degradation by blur (out-of-focus, motion etc.) and noise. In many cases, the degradation process can be modeled by convolution g=u*h+n where g denotes the acquired image, u the original image, h the convolution mask (blur), and n random noise. The goal of deconvolution is to recover the original image based on the observed image.