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 proposed and compared to classic methods. A user experience experiment was carried out to evaluate the solutions and better understand the problem on an empirical basis. - Results: (1) The proposed methods outperformed the comparison methods. (2) The methods that most successfully enhanced script legibility were those that leverage human perception. (3) Users exhibited a broad behavioral spectrum of text-deciphering strategies, 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 method satisfied all factor configurations. Therefore, using synergetically a range of enhancement methods and interaction modalities is suggested for optimal results and user satisfaction. (4) A paradigm of legibility enhancement for critical applications is outlined, comprising the following criteria: interpreting images skeptically; approaching enhancement as a system problem; considering all image structures as potential information; deriving interpretations from connections across distinct spatial locations; and making uncertainty and alternative interpretations explicit, both visually and numerically.
翻译：本条的目的是:在可见光谱中发展可视文字清晰度提高的理论、算法、感知和互动方面,以学术编辑 papyri 文本。 - 方法:提出并比较基于色彩处理和视觉幻觉的新清晰度提高算法,并与经典方法进行比较; 进行用户经验实验,以评价解决办法,在经验基础上更好地理解问题。 - 成果:(1) 拟议方法优于比较方法。 (2) 最成功地提高文字清晰度的方法是那些利用人类感知的方法。 (3) 用户在诸如个性和社会调节、任务和应用领域、专门知识水平和图像质量以及软件、硬件和界面价格等因素的影响下,展示了广泛的文本表达战略行为范围。 没有一种单一的方法能够满足所有要素配置。 因此,建议采用一系列增强方法和互动模式,实现最佳结果和用户满意度。 (4) 关键应用的清晰度增强范式得到概述,包括以下标准:对图像进行有怀疑的解释;将增强作为系统问题对待的文本表达战略,将其作为一个任务和应用领域、专门知识和图像质量,以及软件、硬件和界面解释的不同位置;考虑各种不同的图像分析。
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