An Iterative Approach for Shadow Removal in Document Images

Uneven illumination and shadows in document images cause a challenge for digitization applications and automated workflows. In this work, we propose a new method to recover unshadowed document images from images with shadows/un-even illumination. We pose this problem as one of estimating the shading...

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Bibliographic Details
Main Authors: Shah, Vatsal, Gandhi, Vineet
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Document Analysis
Estimation
Image color analysis
Interpolation
Iterative algorithms
Lighting
Optical character recognition software
Shadow Removal
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Summary:Uneven illumination and shadows in document images cause a challenge for digitization applications and automated workflows. In this work, we propose a new method to recover unshadowed document images from images with shadows/un-even illumination. We pose this problem as one of estimating the shading and reflectance components of the given original image. Our method first estimates the shading and uses it to compute the reflectance. The output reflectance map is then used to improve the shading and the process is repeated in an iterative manner. The iterative procedure allows for a gradual compensation and allows our algorithm to even handle difficult hard shadows without introducing any artifacts. Experiments over two different datasets demonstrate the efficacy of our algorithm and the low computation complexity makes it suitable for most practical applications.
ISSN:2379-190X
DOI:10.1109/ICASSP.2018.8462476