Category: MATLAB

Progressive Image Denoising Through Hybrid Graph Laplacian Regularization A Unified Framework

Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework Abstract: Recovering images from corrupted observations is necessary for many real-world applications. In this paper, we propose a unified framework to perform progressive image recovery based on hybrid graph Laplacian regularized regression. We first construct a multiscale representation of the target image by Laplacian […]


Phase-Based Binarization of Ancient Document Images Model and Applications

Phase-Based Binarization of Ancient Document Images: Model and Applications Abstract: In this paper, a phase-based binarization model for ancient document images is proposed, as well as a postprocessing method that can improve any binarization method and a ground truth generation tool. Three feature maps derived from the phase information of an input document image constitute […]