Bleed-through cancellation in non-rigidly misaligned recto-verso archival manuscripts based on local registration
Autor: | Anna Tonazzini, Pasquale Savino, Luigi Bedini |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
General Appearance
business.industry Computer science 020207 software engineering 02 engineering and technology Relative shift Bleed Displacement (vector) Computer Science Applications Digital image restoration Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering Piecewise Bleed-through cancellation 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Digital document restoration Document registration business Software |
Zdroj: | International journal on document analysis and recognition 22 (2019): 163–176. doi:10.1007/s10032-019-00323-2 info:cnr-pdr/source/autori:Savino P.; Tonazzini A.; Bedini L./titolo:Bleed-through cancellation in non-rigidly misaligned recto-verso archival manuscripts based on local registration/doi:10.1007%2Fs10032-019-00323-2/rivista:International journal on document analysis and recognition (Print)/anno:2019/pagina_da:163/pagina_a:176/intervallo_pagine:163–176/volume:22 |
DOI: | 10.1007/s10032-019-00323-2 |
Popis: | Ancient manuscripts written on both pages of the sheet are frequently affected by ink bleeding from the reverse side. This phenomenon produces a significant degradation of both the foreground text and the general appearance of the manuscript. Effective digital image restoration techniques may require the use of the content of both document sides, thus needing their perfect alignment. Although often available, recto and verso are usually not aligned, either for rigid misalignments occurring during acquisition, or for non-rigid deformations of the sheet. In this paper, we propose a novel method to restore color recto–verso manuscript images in a piecewise manner, without the need of a preliminary, global registration of the two sides. We assume that at the local level any deformation can be approximated by a displacement and subdivide the two images into small patches of same size. For each pair of patches at the same location, their relative shift is estimated by cross-correlation, thus allowing their straightforward alignment. A bleed-through removal algorithm is then applied to the registered patches. By spanning the entire images, this procedure returns free-of-interferences versions of the images in their original acquisition layout. The experiments show that the restoration results so obtained are better than those obtained with the classical approach that first registers the whole recto–verso pair and then performs restoration. Further advantages are a much lower computational cost, the possibility to manage non-global and non-rigid deformations, and the unaltered geometry and color appearance of the two restored images. |
Databáze: | OpenAIRE |
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