Nondestructive enhancement method and device for ultralow-illumination original image of cultural relic and medium

By combining residual variational autoencoders and diffusion models with a region cross-attention mechanism, the problems of information loss and pigment shift in ultra-low illumination image enhancement of cultural relics were solved, achieving lossless enhancement and accurate color restoration, which meets the archiving standards for cultural relics.

CN122453673APending Publication Date: 2026-07-24浪潮智慧科技有限公司 +2
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Patent Information

Application Number
CN202610472876.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-10
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies for enhancing ultra-low illumination images of cultural relics suffer from problems such as overly smoothed images, loss of local archaeological structures, and pigment color shifts, failing to meet the legal standards for archiving cultural relics.

Method used

By employing a residual variational autoencoder and a diffusion model combined with a region-based cross-attention mechanism, archive-grade sRGB images are generated through image preprocessing, latent feature encoding, denoising, and decoding, preserving archival information and accurately restoring the colors of mineral pigments.

Benefits of technology

It achieves lossless enhancement of original images of cultural relics under ultra-low illumination, preserves archaeological information and accurately restores the colors of mineral pigments, avoids damage to cultural relics caused by long exposure to strong light, and meets the requirements of archive-level image quality.

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Abstract

The invention discloses a lossless enhancement method and device for an ultra-low illumination original image of a cultural relic and a medium, and relates to the technical field of computer vision and cultural relic digital protection. The method comprises the steps of obtaining a Bayer format image of a cultural relic, and performing image preprocessing on the Bayer format image to obtain a linear LRGB image; encoding the LRGB image by using a residual variation automatic encoder to obtain a latent feature; inputting the latent features into a diffusion model to obtain denoised latent features; and decoding the denoised latent features by using a decoder of the residual variation automatic encoder to obtain an archive-level standard sRGB image. Therefore, lossless enhancement of the ultra-low illumination original image of the cultural relic, archaeological information fidelity and precise restoration of mineral pigment colors can be realized.
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