Image tampering detection method and device

Abstract

The embodiment of the invention discloses an image tampering detection method and device. The method comprises the following steps: segmenting a to-be-detected image into multiple sub-images with overlapping regions by using a sliding window; extracting feature vectors of various sub-images by using a discrete analytic Fourier-Merlin transform method; performing multiple projections on various feature vectors by using a local sensitivity Hash algorithm to respectively multiple projection values with the same number of each sub-image; judging whether a target sub-image pair meeting a preset projection condition is existent; regarding that the to-be-detected image is not tampered if the target sub-image pair meeting the preset projection condition is nonexistent; computing a filter referencevalue of each target sub-image in the target sub-image pair by using a Weber local description sub-method and a variance function if the target sub-image pair meeting the preset projection conditionis existent, and judging whether each filter reference value is greater than a threshold; regarding that the to-be-detected image is tampered if the filter reference value is greater than the threshold; or regarding that the to-be-detected image is not tampered if the filter reference value is not greater than the threshold. By using the technical scheme provided by the application, the accuracy of image tampering detection is improved, the computing complexity is reduced, and the recall ratio is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image tampering detection method and device. Background technique [0002] With the rapid development of computer computing and image processing technology, users can use some image processing software to modify or make original images, so that the processed images and these original images cannot be identified by human eyes. However, the processing of digital images or other types of images, that is, falsified images after tampering may bring security risks or some other social problems, such as news images that have been tampered with will distort readers' cognition of real events , in view of this, the application of image tampering technology was born. [0003] Image tampering technology is to detect whether the current image is a complete original image, that is to say, whether the original image has been processed or tampered with. T...

AI Technical Summary

Problems solved by technology

These geometric operations usually do not greatly change the feature content of the image itself, and its image feature content remains relatively consistent. However, the image tampering detection method in the prior art cannot accurately detect whether it has been processed by complex geometric operations, resulting in The detection accuracy of image tampering is reduced, and it is impossible to accurately identify whether the image has been tampered with

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