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This is a In Vitro Study study.

Deep learning-based oracle image enhancement and calibration methods

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Generative adversarial network significantly improves clarity in oracle bone image recovery, suggesting advances in historical research.

The image enhancement method improves clarity and readability of oracle bone images, enhancing academic research opportunities.
Experimental evaluations on oracle image datasets OBI-100 and OBI-300 confirm substantial improvements in image quality.
This approach applies a generative adversarial network to optimize image features, textures, and layouts effectively.
The method showcases the potential for advanced image processing techniques in preserving historical artifacts.

Qiao et al. (2025) studied this question.

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