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Ferdinand Jost

2 accepted papers

2023

Optimising Different Feature Types for Inpainting-Based Image Representations

ICASSP 2023accepted

Inpainting-based image compression is a promising alternative to classical transform-based lossy codecs. Typically it stores a carefully selected subset of all pixel locations and their colour values. In the decoding phase the missing information is reconstructed by an inpainting process such as hom…

Cited by 0SourceScholar
2020

Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting

ICASSP 2020accepted

In spite of the fact that efficient compression methods for dense two-dimensional flow fields would be very useful for modern video codecs, hardly any research has been performed in this area so far. Our paper addresses this problem by proposing the first lossy diffusion-based codec for this purpose…

Cited by 0SourceScholar