CleanPage: Fast and Clean Document and Whiteboard Capture
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 the high-quality digitization of content from pages and whiteboards to sharable online material. However, capturing this information is not always...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
|
| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/6/10/102 |
| _version_ | 1797552084723171328 |
|---|---|
| author | Jane Courtney |
| author_facet | Jane Courtney |
| author_sort | Jane Courtney |
| collection | DOAJ |
| description | 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 the high-quality digitization of content from pages and whiteboards to sharable online material. However, 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. |
| first_indexed | 2024-03-10T15:54:56Z |
| format | Article |
| id | doaj.art-5c02658c9a734ecbaaef820790f3157a |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-10T15:54:56Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-5c02658c9a734ecbaaef820790f3157a2023-11-20T15:46:04ZengMDPI AGJournal of Imaging2313-433X2020-10-0161010210.3390/jimaging6100102CleanPage: Fast and Clean Document and Whiteboard CaptureJane Courtney0School of Electrical & Electronic Engineering, Technological University Dublin, City Campus, Dublin, IrelandThe 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 the high-quality digitization of content from pages and whiteboards to sharable online material. However, 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.https://www.mdpi.com/2313-433X/6/10/102document scanningwhiteboard captureimage enhancementimage alignmentimage registrationimage quality assessment |
| spellingShingle | Jane Courtney CleanPage: Fast and Clean Document and Whiteboard Capture Journal of Imaging document scanning whiteboard capture image enhancement image alignment image registration image quality assessment |
| title | CleanPage: Fast and Clean Document and Whiteboard Capture |
| title_full | CleanPage: Fast and Clean Document and Whiteboard Capture |
| title_fullStr | CleanPage: Fast and Clean Document and Whiteboard Capture |
| title_full_unstemmed | CleanPage: Fast and Clean Document and Whiteboard Capture |
| title_short | CleanPage: Fast and Clean Document and Whiteboard Capture |
| title_sort | cleanpage fast and clean document and whiteboard capture |
| topic | document scanning whiteboard capture image enhancement image alignment image registration image quality assessment |
| url | https://www.mdpi.com/2313-433X/6/10/102 |
| work_keys_str_mv | AT janecourtney cleanpagefastandcleandocumentandwhiteboardcapture |