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eess.IV2021
Learning Sparse Masks for Diffusion-based Image Inpainting
Tobias Alt, Pascal Peter, Joachim Weickert
Diffusion-based inpainting is a powerful tool for the reconstruction of images from sparse data. Its quality strongly depends on the choice of known data. Optimising their spatial…
eess.IV2021
Quantisation Scale-Spaces
Pascal Peter
Recently, sparsification scale-spaces have been obtained as a sequence of inpainted images by gradually removing known image data. Thus, these scale-spaces rely on spatial sparsity…
eess.IV2021
JPEG Meets PDE-based Image Compression
Sarah Andris, Joachim Weickert, Tobias Alt +1
Inpainting-based image compression is emerging as a promising competitor to transform-based compression techniques. Its key idea is to reconstruct image information from only few k…