Article
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Preserved in Portico This version is not peer-reviewed
CleanPage: Fast and Clean Document and Whiteboard Capture
Version 1
: Received: 27 July 2020 / Approved: 28 July 2020 / Online: 28 July 2020 (14:03:51 CEST)
A peer-reviewed article of this Preprint also exists.
Courtney, J. CleanPage: Fast and Clean Document and Whiteboard Capture. J. Imaging 2020, 6, 102. Courtney, J. CleanPage: Fast and Clean Document and Whiteboard Capture. J. Imaging 2020, 6, 102.
Abstract
The move from paper to online is not only necessary for remote working, it is also significantly more sustainable. This trend has seen a rising need for high-quality digitization of content from pages and whiteboards to sharable online material. But capturing this information is not always easy, nor are the results always satisfactory. Available scanning apps vary in their usability and do not always produce clean results, retaining surface imperfections from the page or whiteboard in their output images. CleanPage, a novel smartphone-based document and whiteboard scanning system, is presented. CleanPage requires one button-tap to capture, identify, crop and clean an image of a page or whiteboard. Unlike equivalent systems, no user intervention is required during processing and the result is a high-contrast, low-noise image with a clean homogenous background. Results are presented for a selection of scenarios showing the versatility of the design. CleanPage is compared with two market leader scanning apps using two testing approaches: real paper scans and ground-truth comparisons. These comparisons are achieved by a new testing methodology that allows scans to be compared to unscanned counterparts, by using synthesized images. Real paper scans are tested using image quality measures. An evaluation of standard image quality assessments is included in this work and a novel quality measure for scanned images is proposed and validated. The user experience for each scanning app is assessed, showing CleanPage to be fast and easier to use.
Keywords
document scanning; whiteboard capture; image enhancement; image alignment; image registration; image quality assessment
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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