Sparse Representation Based Inpainting for the Restoration of Document Images Affected by Bleed-Through

Proceedings

Hanif, Muhammad¹ 

关键词: bleed-through image restoration;    dictionary learning;    sparse representation;    ancient documents restoration;   

DOI  :  10.3390/proceedings2020093

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Bleed-through is a commonly encountered degradation in ancient printed documents and manuscripts, which severely impair their readability. Digital image restoration techniques can be effective to remove or significantly reduce this degradation. In bleed-through document image restoration the main issue is to identify the bleed-through pixels and replace them with appropriate values, in accordance to their surroundings. In this paper, we propose a two stage method, where a pair of properly registered images of the document recto and verso is first used to locate the bleed-through pixels in each side, and then a sparse representation based image inpainting technique is used to fill-in the bleed-through areas according to the neighbourhood, in such a way to preserve the original appearance of the document. The advantages of the proposed inpainting technique over state-of-the-art methods are illustrated by the improvement in the visual results.

【 授权许可】

CC BY