# Water-Filling: An Efficient Algorithm for Digitized Document Shadow   Removal

**Authors:** Seungjun Jung, Muhammad Abul Hasan, Changick Kim

arXiv: 1904.09763 · 2019-05-06

## TL;DR

This paper introduces a new algorithm that effectively removes shading artifacts from digitized documents by modeling illumination correction as a diffusion process, leading to improved image quality under challenging lighting conditions.

## Contribution

The paper presents a novel diffusion-based algorithm for shading artifact removal in digitized documents, outperforming existing methods in challenging lighting scenarios.

## Key findings

- The proposed method effectively reduces shading artifacts.
- It outperforms state-of-the-art illumination correction techniques.
- The algorithm demonstrates robustness on smartphone-captured documents.

## Abstract

In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts. Firstly, a topographic surface of an input digitized document is created using luminance value of each pixel. Then the shading artifact on the document is estimated by simulating an immersion process. The simulation of the immersion process is modeled using a novel diffusion equation with an iterative update rule. After estimating the shading artifacts, the digitized document is reconstructed using the Lambertian surface model. In order to evaluate the performance of the proposed algorithm, we conduct rigorous experiments on a set of digitized documents which is generated using smartphones under challenging lighting conditions. According to the experimental results, it is found that the proposed method produces promising illumination correction results and outperforms the results of the state-of-the-art methods.

## Full text

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## Figures

20 figures with captions in the complete paper: https://tomesphere.com/paper/1904.09763/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/1904.09763/full.md

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Source: https://tomesphere.com/paper/1904.09763