Robust image hashing method and device based on Radon transformation and invariant features

Abstract

The invention relates to a robust image hashing method and device based on Radon transformation and invariant features, and belongs to the field of information safety. In terms of the problem that hashing cannot resist geometric attacks well, normalized preprocessing operation is carried out on images firstly, invariant feature points are generated by utilizing an unchanged centroid algorithm, the circular area around an unchanged centroid is selected, Radon transformation is carried out on the circular area to generate a coefficient matrix, multiple lines of coefficients are selected randomly from a transformation domain by utilizing a chaotic system, robust features of each line are extracted, the features of all lines are combined with the invariant moment features of the whole matrix to generate image hashing, and similarity comparison is carried out by utilizing Euclidean distance. By the adoption of the robust image hashing method and device based on the Radon transformation and invariant features, the problem that the false drop rate rises due to geometric attacks can be solved effectively; the problems that computation complexity is too high and hashing is too long can be solved according to hashing steps and hashing lengths. The method and device can be applied to the field of image content authentication, and can also be applied to image retrieval, image identification and other information safety fields.

Description

technical field [0001] The invention relates to the field of image processing and image content authentication, in particular to an image hashing method and device based on Radon transformation and invariant features. Background technique [0002] The rapid development of network and digital information technology has promoted the application of digital information more and more widely, which has also prompted many traditional media to start digital transformation, making the information on the network more and more diverse. Digital multimedia information can be copied, compressed, stored and transmitted very conveniently, and is widely used because it is easy to obtain and can be operated in real time. It is precisely because of the characteristics of easy storage, processing, copying and transmission of multimedia information that people can easily obtain the information they need through the network, and can obtain this information very quickly, which gives multimedia inf...

AI Technical Summary

Problems solved by technology

For grayscale images, discover new robust and effective features; solve the problem of misjudgment in geometric distortion, so that image hashing can better resist some conventional image attacks, and can better resist geometric attacks; and algorithm calculation The problem of too high complexity and too long hash length, and has a good distinction between images with different perceptual content and images that have been maliciously tampered with, achieving a balance between distinction and robustness

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