Digitized repairing method for grave mural image

Abstract

The invention discloses a digitized repairing method for a grave mural image, and belongs to the field of digital image repairing. According to the method, a total variation mathematical model is utilized to decompose the grave mural image to obtain a cartoon image; a structure factor term is added in priority calculation, and the cartoon image is utilized to drive the priority calculation of edge points to be repaired; the point with the maximum priority serves as a center to construct a repairing block, and a sample block of which the Euclidean distance with the repairing block is smallest is searched in a known area; the average pixel difference quadratic sum of the repairing block and the sample block is calculated and compared with a set threshold value, the size of the repairing block is self-adaptively adjusted until the copy condition is met, and sample copying and edge updating are performed; lastly, an area to be repaired is checked, and if the area to be repaired is not null, the above steps are iterated until repairing is completed. The method overcomes the problems such as incoherence and overstretching generated in repairing of an existing method and is mainly used in (but not limited to) virtual repairing of the grave mural image.

Description

technical field [0001] The invention belongs to the field of digital image restoration, and specifically relates to a method for digital restoration of tomb mural images that can eliminate incoherence, over-extension and the like in the restoration process. Background technique [0002] Digital image restoration technology refers to the use of algorithms to automatically fill in data loss or damage in local areas of an image and restore its visual coherence. With the development of computer technology, digital image restoration technology has been widely used in cultural relics protection, photo restoration, film and television special effects production, obstacle removal and other fields due to its advantages of intelligence, speed and low cost. [0003] Tomb murals are a precious cultural heritage in my country, with unique cultural forms and high artistic value. However, the weathering of the environment and man-made damage have caused serious damage to these murals, and...

AI Technical Summary

Problems solved by technology

However, due to the influence of noise and small textures, the determination of the direction of the isoluminance line of the data item is not accurate, and the priority restoration of the structural area is not fully considered. For mural images with serious structural damage, structural information is likely to be incoherent during the restoration process. ; and because the size of the repair block is fixed, for areas with complex structures and textures, the texture information tends to be over-extended, resulting in poor repair results

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