High-Resolution Document Image Reconstruction from Video
| Autor: | Pooryaa Cheraaqee, Mohammad Minouei, Mohammad Reza Soheili, Hossein Motamednia |
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| Rok vydání: | 2020 |
| Předmět: |
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Computer science business.industry media_common.quotation_subject Frame (networking) Image mosaicking ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image registration High resolution 02 engineering and technology Iterative reconstruction Pipeline (software) 03 medical and health sciences 0302 clinical medicine 030221 ophthalmology & optometry 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Quality (business) Artificial intelligence business media_common |
| Zdroj: | 2020 International Conference on Machine Vision and Image Processing (MVIP). |
| DOI: | 10.1109/mvip49855.2020.9116907 |
| Popis: | Today, smartphones with high-quality built-in cameras are very common. People prefer to take pictures from documents with smartphones instead of scanning them with a scanner. Due to the limitation of scanners input size, it is difficult to scan everything with them. Resolution and quality of smartphone cameras are not enough to take a picture from large documents like posters. In this paper, we proposed a pipeline to make a high-resolution image of a document from its captured video. We suppose that during the record of the video, the camera was moved slowly all over the surface of the document from a close distance. In the proposed method we find the location of each frame in the document and we use a sharpness criterion to select the highest possible quality for each region of the document among all available frames. We evaluated our method on the SmartDoc Video dataset and reported the promising results. |
| Databáze: | OpenAIRE |
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