Criminisi image restoration method based on bat algorithm

Abstract

A Criminisi image restoration method based on a bat algorithm comprises the steps of calculating the priority of each pixel point of to-be-restored region edges of to-be-restored images, selecting a pixel point with maximum priority as a pixel point with restoration priority, performing searching and filling on best matching blocks in perfect regions of the to-be-restored images, wherein searching (as mentioned) is performed by adopting the bat algorithm according to a matching principle; updating the to-be-restored region edges, returning the edges and performing repeated circulating operation till the restoration of to-be-restored regions is finished and obtaining an image restoration result. The Criminisi image restoration method is wide in image restoration range, improves the restoration speed, reduces the time consumption and meets the visual demands of people on the premise that the restoration quality of the to-be-restored images having different emphasis areas is ensured. Therefore, the Criminisi image restoration method has important practical significance.

Description

technical field [0001] The invention belongs to the field of image restoration, in particular to a Criminisi image restoration method. Background technique [0002] In recent years, image inpainting is a research hotspot in computer vision, widely used in image and video restoration, redundant object removal, image compression, film and television special effects production and many other fields. Its essence is to use the information in the image to be repaired to restore the missing information, so that the overall effect of image restoration can meet the visual needs of people. [0003] There are currently two major techniques for image restoration: image restoration techniques based on partial differential equations and image restoration techniques based on texture synthesis. The choice of the two repair methods is determined according to the size of the repair area. The core idea of ​​the former is based on the partial differential equation of heat flow in physics, so t...

AI Technical Summary

Problems solved by technology

However, the priority (p) calculation and the search and filling of the best matching block in the Criminisi image restoration algorithm have their own defects, that is, the confidence level will decrease with the increase of the number of repairs, and there will be an order of magnitude The appearance of the difference affects the priority, and there will be a vertical phenomenon in the data item, causing the priority to be zero, the size of the confidence level will be meaningless to the priority, and there is more than one best matching module, and the system will randomly select it, etc.

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