Robust image hashing method and device based on Radon transformation and invariant features
An image and hashing technology, which is applied in the field of image hashing method and device based on Radon transformation and invariant features, can solve the problems of misjudgment, algorithm calculation complexity, long hash length, etc., and achieve short hash length, Good discrimination, good anti-translation effect
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[0036] In order to make the purpose and technical solution of the present invention clearer, the specific implementation manners of the present invention will be described in detail below.
[0037] The specific steps of the robust image hashing method based on Radon transform and invariant features are as follows:
[0038] The first step is image preprocessing. First of all, the image has to go through a standard preprocessing process. First, the original image is transformed into a standard m×m size image through an interpolation algorithm. This step is mainly to ensure that the hash sequences generated by different images have the same length and can be used in a certain range. Resistant to scaling artifacts to a certain extent. Then perform a low-pass filtering operation on the image, which can filter out some noises that are easy to change, retain the important content characteristics of the image, and the image obtained through preprocessing has better robustness.
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