Image tampering detection positioning and self-recovery method based on fragile watermark

Abstract

The invention discloses an image tampering detection positioning and self-recovery method for fragile watermarks, and the method comprises the steps: carrying out the one-dimensional arrangement of each row of pixels in an original image I to form a one-dimensional pixel image, dividing the one-dimensional pixel image into a non-overlapping image block sequence, and enabling each image block to comprise two continuous pixel points; constructing a Hash indicator table HIT, a Hash address table HAT, a tag table FT and an inverse Hash address table IHAT of each image block; determining a puzzle matrix corresponding to the key K, and constructing a dual matrix DM based on the puzzle matrix; generating authentication data B based on the Hash indicator table HIT of the image block Bu and the feature information of the image block BIHAT(u), and embedding the authentication data B into the image block Bu to generate a digital watermark image I '; and according to the determined image authentication rule, carrying out tampering detection positioning and self-recovery on the digital watermark image I'. According to the method, a perfect Hash model is used for generating authentication data, so that the authentication data has the self-recovery performance of a tampered area while a high tampering detection rate is obtained.

Description

technical field [0001] The invention belongs to the technical field of image authentication, and more specifically, the invention relates to an image tampering detection, positioning and self-recovery method based on a fragile watermark. Background technique [0002] With the rapid development of multimedia signal processing technology and computer network, digital information transmission using image as the medium has become faster and more effective. Users can easily modify, transform, copy and disseminate digital images transmitted through the Internet. While improving communication efficiency, it also brings security risks, making it difficult for other users to detect certain tampering of transmitted images. In some scenarios, image integrity is particularly important. For example, the tampering of medical images may affect the doctor's judgment on the patient's condition, and the tampering of images used as judicial evidence may affect the judgment of the case. Theref...

AI Technical Summary

Problems solved by technology

However, most current image integrity authentication technologies based on fragile watermarks have the following disadvantages: the visual effect of the image will be deteriorated after embedding the watermark, or the self-recovery of the original image cannot be achieved after tampering detection

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