5 papers · 1 filter
Improving OCR using internal document redundancy
Diego Belzarena, Seginus Mowlavi, Aitor Artola +9
Current OCR systems are based on deep learning models trained on large amounts of data. Although they have shown some ability to generalize to unseen data, especially in detection…
Image Decomposition with G-norm Weighted by Total Symmetric Variation
Roy Y. He, Martin Huska, Hao Liu
In this paper, we propose a novel variational model for decomposing images into their respective cartoon and texture parts. Our model characterizes certain non-local features of an…
Dynamic PET Image Reconstruction via Non-negative INR Factorization
Chaozhi Zhang, Wenxiang Ding, Roy Y. He +2
The reconstruction of dynamic positron emission tomography (PET) images from noisy projection data is a significant but challenging problem. In this paper, we introduce an unsuperv…
A Formalization of Image Vectorization by Region Merging
Roy Y. He, Sung Ha Kang, Jean-Michel Morel
Image vectorization converts raster images into vector graphics composed of regions separated by curves. Typical vectorization methods first define the regions by grouping similar…
Euler's Elastica Based Cartoon-Smooth-Texture Image Decomposition
Roy Y. He, Hao Liu
We propose a novel model for decomposing grayscale images into three distinct components: the structural part, representing sharp boundaries and regions with strong light-to-dark t…