Ciphertext domain image repair method

Abstract

The invention provides a ciphertext domain image repair method which is used for carrying out repair on a damaged image generated by suffering from damage of a mask image in a ciphertext domain and ischaracterized by comprising the following steps of: S1, acquiring a to-be-repaired encryption image EP, an auxiliary encryption image EJ and a mask image theta; S2, carrying out marking on the to-be-repaired encryption image EP by the mask image theta to obtain a damaged region omega and an undamaged region phi; S3, calculating priorities of to-be-repaired pixels c in the damaged region omega bytaking a block as the unit so as to obtain a target block (with the reference to the specification) with the highest priority; S4, under the assistance of the auxiliary encryption image EJ, carrying out block matching on the target block (with the reference to the specification) and all candidate blocks BS in the undamaged region phi to obtain an optimal matched block (with the reference to the specification); S5, carrying out repair on the target block (with the reference to the specification) by the optimal matched block (with the reference to the specification) to select an initial repairedencryption image EP1; S6, respectively carrying out updating on the auxiliary encryption image EJ, the damaged omega and the undamaged region phi; and S7, repeating the steps S2 to S6, until the damaged region omega is completely repaired to obtain a repaired encryption image E'P.

Description

technical field [0001] The invention relates to an image restoration method, in particular to a ciphertext domain image restoration method. Background technique [0002] Image inpainting techniques are used in many application fields. Such as removing unwanted objects or regions, filling in missing parts of an image, is also widely used in computer vision, including image restoration, compression, editing, and merging. Image inpainting techniques have also been extended to image-related applications, for example, compositing videos and animations. The current image inpainting techniques are mainly divided into three categories: methods based on interpolation (such as: FMM algorithm), methods based on partial differential equations (such as: TV algorithm), and methods based on samples / blocks (such as: Criminisi algorithm). [0003] Today, with the development of the Internet, cloud storage and computing have become common. Due to limited storage space and computing power, ...

AI Technical Summary

Problems solved by technology

[0004] The present invention is made to solve the problem of how to restore encrypted images in the ciphertext domain, and the purpose is to provide a method for image restoration in the ciphertext domain

Images