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Image Compression with Isotropic and Anisotropic Shepard Inpainting
Rahul Mohideen Kaja Mohideen, Tobias Alt, Pascal Peter +1
Inpainting-based codecs store sparse selected pixel data and decode by reconstructing the discarded image parts by inpainting. Successful codecs (coders and decoders) traditionally…
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert +1
Deep learning has revolutionized the field of computer vision by introducing large scale neural networks with millions of parameters. Training these networks requires massive datas…
Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images -- Part I: Homogeneous Diffusion Inpainting
Niklas Kämper, Vassillen Chizhov, Joachim Weickert
In recent years inpainting-based compression methods have been shown to be a viable alternative to classical codecs such as JPEG and JPEG2000. Unlike transform-based codecs, which…
Efficient Parallel Data Optimization for Homogeneous Diffusion Inpainting of 4K Images
Niklas Kämper, Vassillen Chizhov, Joachim Weickert
Homogeneous diffusion inpainting can reconstruct missing image areas with high quality from a sparse subset of known pixels, provided that their location as well as their gray or c…