Document image enhancement methods are often used to improve the accuracy and
efficiency of automated document analysis and recognition tasks such as character …

Existing works on document image shadow removal mostly depend on learning and
leveraging a constant background (the color of the paper) from the image. However, the …

Shadows often occur when we capture the document with casual equipment, which
influences the visual quality and readability of the digital copies. Different from the …

Removing shadows in document images enhances both the visual quality and readability of
digital copies of documents. Most existing shadow removal algorithms for document images …

The removal of shadows from images is a classic problem in computer vision, aiming to
restore the lighting in shadowed areas, thereby reducing the information interference and …

Document images captured by mobile devices are usually degraded by uncontrollable
illumination, which hampers the clarity of document content. Recently, a series of research …

Document image restoration is a crucial aspect of Document AI systems as the quality of
document images significantly influences the overall performance. Prevailing methods …

Camera-captured document images usually suffer from various appearance degradations,
which hamper the clarity of content and preclude subsequent analysis and recognition …

In this paper we present S3R-Net the Self-Supervised Shadow Removal Network. The two-
branch WGAN model achieves self-supervision relying on the unify-and-adapt phenomenon …

This paper proposes a simple yet effective method to re-move shadows from text document
images. It mainly includes several parts. Firstly, we propose a text elimination-based …