Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions
Not on the map. Why?
Abstract (arXiv)
Purpose: This 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. - Methods: Novel legibility enhancement algorithms based on color processing and visual illusions are compared to classic methods in a user experience experiment. - Results: (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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 218 references that are in the map. First posted on arXiv 11 Mar 2021.
Builds on
7 of 218 references.
References · 7
- 2015Massive Online Crowdsourced Study of Subjective and Objective Picture Qualitycited by 208
- 2019Deep Learning on Image Denoising: An overviewcited by 128
- 2013Medical Image Fusion: A survey of the state of the artcited by 39
- 2015Good Colour Maps: How to Design Themcited by 6
- 2016High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscriptscited by 2
- 2021Subjective Assessments of Legibility in Ancient Manuscript Images -- The SALAMI Datasetcited by 2
- 2017Senior Programmers: Characteristics of Elderly Users from Stack Overflowcited by 1
Built on by
Citing papers per year: 2023: 1.
1 paper.