This invention proposes a method and
system for Thangka
image restoration, relating to the field of
image restoration. The method includes: preprocessing the acquired original Thangka images; classifying the preprocessed images into first, second, third, and fourth Thangka images according to their complexity from low to high; sequentially performing damage
processing on these Thangka images to form structurally damaged, textured, semantically abnormal, and mixed-damaged images; training these damaged images to form a Thangka restoration model; and using the Thangka restoration model to restore the Thangka image to be restored, forming the target restored image. This invention combines the classification and damage
processing of different Thangka image complexities to obtain different types of damaged images, adapting to different damage scenarios. Furthermore, by training and optimizing different damaged images separately, the resulting Thangka restoration model can comprehensively restore Thangka images, ensuring that the restored image has a regular structure, natural texture, reasonable
semantics, and
high fidelity.