Shadow Removal of Text Document Images by Estimating Local and Global Background Colors
Journal
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Journal Volume
2020-May
Pages
1534-1538
Date Issued
2020
Author(s)
Wang, J.-R.
Abstract
This paper proposes a simple yet effective method for removing shadows from text document images. Assuming that the document mainly contains texts, our method estimates the global and local background colors using statistical analysis of the whole image and local neighborhoods. By estimating the global and local background colors, we obtain the shadow map indicating the shadow ratio for each pixel. With the shadow map, a shadow-free image can be recovered by intrinsic decomposition. Experiments confirm that our method effectively removes the shadow of text document images regardless of the intensity, scope, and the number of shadows. © 2020 IEEE.
Subjects
document image processing; Document image shadow removal
SDGs
Other Subjects
Color; Maps; Speech communication; Local neighborhoods; Shadow maps; Shadow ratio; Shadow removal; Text document images; Audio signal processing
Type
conference paper