Analysis of PDE-based binarization model for degraded document images

Abstract

This report presents the results of a PDE-based binarization model for degraded document images. The model utilizes an edge and binary source term in its formulation. Results indicate effectiveness for document images with bleed-through and faded text and stains to a lesser extent.

11 pages, 6 figures

References in corpus (3)

• A selectional auto-encoder approach for document image binarization
• DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
• PDNet: Semantic Segmentation integrated with a Primal-Dual Network for Document binarization