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Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images -- Part II: Spatial and Tonal Data Optimization
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 color values are well optimized.
Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images -- Part I: Homogeneous Diffusion Inpainting
However, a major challenge has been to design fast solvers for homogeneous diffusion inpainting that scale to 4K image resolution ($3840 \times 2160$ pixels) and are real-time capable.
Gaining Insights into Denoising by Inpainting
In contrast to traditional denoising methods that adapt the operator to the data, our approach adapts the data to the operator.
Optimising Different Feature Types for Inpainting-based Image Representations
Its performance is demonstrated with a novel set of features that also includes local averages.
Efficient Data Optimisation for Harmonic Inpainting with Finite Elements
Harmonic inpainting with optimised data is very popular for inpainting-based image compression.
Perceptual error optimization for Monte Carlo rendering
To find solutions, we present a set of algorithms that provide varying trade-offs between quality and speed, showing substantial improvements over prior state of the art.
Image Generation
Graphics
I.3.7
