Results of improved fractional/integer order PDE-based binarization model
This work addresses document image processing for tasks like text restoration, but it appears incremental as it builds on existing PDE methods.
The authors tackled binarization of degraded document images by improving a PDE-based model with a diffusion term and enhanced edge detection, achieving superior results compared to state-of-the-art PDE methods.
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.