HySim: An Efficient Hybrid Similarity Measure for Patch Matching in Image Inpainting

arXiv:2403.14292v1 Announce Type: new
Abstract: Inpainting, for filling missing image regions, is a crucial task in various applications, such as medical imaging and remote sensing. Trending data-driven approaches efficiency, for image inpainting, often requires extensive data preprocessing. In this sense, there is still a need for model-driven approaches in case of application constrained with data availability and quality, especially for those related for time series forecasting using image inpainting techniques. This paper proposes an improved modeldriven approach relying on patch-based …

abstract applications arxiv cs.cv data data-driven data preprocessing efficiency hybrid image imaging inpainting medical medical imaging sense sensing trending type