This review provides a comprehensive view of the field of historical document image
binarization with a focus on the contributions made in the last decade. After the introduction …

This paper presents a novel iterative deep learning framework and applies it to document
enhancement and binarization. Unlike the traditional methods that predict the binary label of …

Degraded document binarization has received keen attention due to its vital influence on
subsequent document analysis tasks. In this study, we propose a novel Degraded Document …

Binarization plays an important role in document analysis and recognition (DAR) systems. In
this paper, we present our winning algorithm in ICFHR 2018 competition on handwritten …

Abstract Recent advancements in Digital Document Restoration (DDR) have led to
significant breakthroughs in analyzing highly damaged written artifacts. Among those, there …

In the present scenario, retinal image processing is toiling hard to get an efficient algorithm
for de‐noising and segmenting the blood vessel confined inside the closed curvature …

Image denoising attempts to restore images that have been degraded. Historical document
denoising is specially challenging because there is considerable background noise or …

Document image binarization classifies each pixel in an input document image as either
foreground or background under the assumption that the document is pseudo binary in …

The task of binarization of historical document images has been in the forefront of image
processing research, during the digital transition of libraries. The process of storing and …

The concept of Image Phase Congruency (IPC) is deeply rooted in the way the human visual
system interprets and processes spatial frequency information. It plays an important role in …