Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and...

Area of Science:

• Digital Humanities
• Image Processing
• Computational Linguistics

Background:

• Scholarly editing of ancient texts, particularly papyri, faces challenges with script legibility.
• Enhancing script legibility is crucial for accurate transcription and interpretation.

Purpose of the Study:

• To develop and evaluate novel algorithms for script legibility enhancement of papyri texts.
• To compare the performance of new methods against classic techniques in a user study.

Main Methods:

• Development of novel legibility enhancement algorithms utilizing color processing and visual illusions.
• User experience experiment comparing proposed methods with classic approaches.
• Analysis of user behavior influenced by various factors (personality, expertise, image quality, interface).

Main Results:

• Proposed legibility enhancement methods significantly outperformed classic techniques.
• User behavior varied widely, indicating no single method is universally optimal.
• Factors like user expertise, image quality, and interface design influenced method effectiveness.

Conclusions:

• A diverse range of legibility enhancement methods should be offered to users for personalized and contextualized use.
• A paradigm for critical image enhancement emphasizes skepticism, systems thinking, and explicit uncertainty representation.