Abstract
AbstractThis article develops theoretical, algorithmic, perceptual, and interaction aspects of script legibility enhancement in the visible light spectrum for the purpose of scholarly editing of papyri texts. Novel legibility enhancement algorithms based on color processing and visual illusions are compared to classic methods in a user experience experiment. (1) The proposed methods outperformed the comparison methods. (2) Users exhibited a broad behavioral spectrum, under the influence of factors such as personality and social conditioning, tasks and application domains, expertise level and image quality, and affordances of software, hardware, and interfaces. No single enhancement method satisfied all factor configurations. Therefore, it is suggested to offer users a broad choice of methods to facilitate personalization, contextualization, and complementarity. (3) A distinction is made between casual and critical vision on the basis of signal ambiguity and error consequences. The criteria of a paradigm for enhancing images for critical applications comprise: interpreting images skeptically; approaching enhancement as a system problem; considering all image structures as potential information; and making uncertainty and alternative interpretations explicit, both visually and numerically.
Funder
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Open Access funding provided by Université de Fribourg.
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Software
Reference198 articles.
1. Abidi, B.R., Zheng, Y., Gribok, A.V., Abidi, M.A.: Improving weapon detection in single energy X-ray images through pseudo-coloring. IEEE Trans. Syst. Man Cybern. C (Appl. Rev.) 36(6), 784–796 (2006)
2. Adelson, E.H.: Lightness perception and lightness illusions. In: Gazzaniga, M.S. (ed.) The New Cognitive Neurosciences, 2nd edn., pp. 339–351. MIT Press, Cambridge, MA (2000)
3. Afruz, J., Wilson, V., Umbaugh, S.E.: Frequency domain pseudo-color to enhance ultrasound images. Comput. Inform. Sci. 3(4), 24–34 (2010)
4. Alaei, A., Raveaux, R., Conte, D., Stantic, B.: “Quality” vs. “Readability” in document images: statistical analysis of human perception. In: Proceedings of the 13th IAPR International Workshop on Document Analysis Systems (DAS), 24–27 April 2018, Vienna, Austria, pp. 363–368 (2018)
5. Alexopoulou, A.A., Kaminari, A.A., Panagopoulos, A., Pöhlmann, E.: Multispectral documentation and image processing analysis of the papyrus of tomb II at Daphne. Greece. J. Archaeol. Sci. 40(2), 1242–1249 (2013)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献