Results of improved fractional/integer order PDE-based binarization model

TL;DR

This paper introduces an enhanced PDE-based binarization method for degraded document images, incorporating diffusion, contrast normalization, and advanced edge detection to improve text clarity and bleed-through removal.

Contribution

It presents a novel PDE model with added diffusion and edge detection techniques, achieving superior binarization results over existing methods.

Findings

Improved text clarity in degraded documents

Effective bleed-through elimination

Superior performance compared to state-of-the-art PDE methods

Abstract

In this report, we present and compare the results of an improved fractional and integer order partial differential equation (PDE)-based binarization scheme. The improved model incorporates a diffusion term in addition to the edge and binary source terms from the previous formulation. Furthermore, logarithmic local contrast edge normalization and combined isotropic and anisotropic edge detection enables simultaneous bleed-through elimination with faded text restoration for degraded document images. Comparisons of results with state-of-the-art PDE methods show improved and superior results.