Synthetic image tampering detection method based on discrete polarity complex exponential transformation

Abstract

The invention discloses a synthetic image tampering detection method based on discrete polarity complex exponential transformation. The synthetic image tampering detection method comprises the following steps: constructing a polarity complex exponential transformation framework with a rotation invariant moment; carrying out discretization under the framework of polarity composite exponential transformation with the rotation invariant moment, and conducting the discrete rotation invariant moment of the polarity composite exponential transformation; converting the detected image into a grayscaleimage, and defining the detected image in a discrete spatial domain; constructing a 9 * 9 pixel template, and realizing approximate mapping of the discrete rotation invariant moment of polarity composite exponential transformation from a polar coordinate space to a Cartesian space in the pixel template; extracting features of the detected image by using a discrete rotation invariant moment of polarity complex exponential transformation to obtain effective image features; and obtaining matching feature pairs through consistency sensitive hash operation, and carrying out image matting display.The synthetic image tampering detection method aims at copying-pasting tampered images of translation and rotation deformation, is higher in the detection success rate, and eliminates background interference.

Description

technical field [0001] The invention relates to the field of image tampering detection, in particular to a synthetic image tampering detection method based on discrete polarity complex exponential transformation. Background technique [0002] In recent years, with the increasingly powerful functions of digital image editing software, digital images have been widely used in all walks of life in society, such as news reports, scientific research, law and so on. The potential problem that comes with digital images is how easily they can be modified by using these powerful image editing tools. Some users have misused photo editing software for various purposes to create images that are contrary to the facts. Today, those acts of falsification without the permission of the author have become so serious that our social life is deeply affected by it. Therefore, digital image tampering detection has been paid more and more attention in the field of information security. [0003] ...

AI Technical Summary

Problems solved by technology

Since forgers use various deformation operations to create new images, traditional image verification methods have been unable to detect and recognize images that contain scaling, rotation, translation, and other geometric operations.

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