Efficient Data Optimisation for Harmonic Inpainting with Finite Elements
Harmonic inpainting with optimised data is very popular for inpainting-based image compression. We improve this approach in three important aspects. Firstly, we replace the standard finite differences discretisation by a finite element method with triangle elements. This does not only speed up inpainting and data selection, but even improves the reconstruction quality. Secondly, we propose highly efficient algorithms for spatial and tonal data optimisation that are several orders of magnitude faster than state-of-the-art methods. Last but not least, we show that our algorithms also allow working with very large images. This has previously been impractical due to the memory and runtime requirements of prior algorithms.
Code (0)
등록된 구현이 없습니다.
Tasks
Image CompressionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Optimising Spatial and Tonal Data for PDE-based Inpainting
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by inpainting with a partial differential equation (PDE). Suitable operators include the Lapl…
Image CompressionA Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation
Image inpainting is a restoration method that reconstructs missing image parts. However, a carefully selected mask of known pixels that yield a high quality inpainting can also act as a sparse image representation. This …
Generative Adversarial NetworkImage InpaintingDeep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting
Diffusion-based inpainting can reconstruct missing image areas with high quality from sparse data, provided that their location and their values are well optimised. This is particularly useful for applications such as im…
Image CompressionModel Predictive Current Control with Harmonic Correction for Single-Phase AC-DC EV Charging
The increasing integration of Electric Vehicles (EVs) has imposed a growing harmonic challenge on the power grid. For AC/DC Power Factor Correction (PFC) in single-phase On-Board Chargers (OBCs), Model Predictive Current…
A harmonic framework for the identification of linear time-periodic systems
This paper presents a novel approach for the identification of linear time-periodic (LTP) systems in continuous time. This method is based on harmonic modeling and consists in converting any LTP system into an equivalent…