Image tampering region detection method based on secondary JPEG compression

Abstract

The invention relates to an image tampering region detection method based on secondary JPEG compression. A texture smooth region mask is introduced in order to solve the problem of the easy false detection of a texture smooth region of an image. By use of the mask and a JPEG error, a tampering probability graph is generated, so the problem of the false detection of the texture smooth region is solved. Meanwhile, in order to solve the problem of inaccurate estimation of a compression quality factor of a low-quality image, in the image tampering region detection method, a JPEG Ghosts characteristic obtained through recompression of the compression quality factor of the low-quality image is not directly used, but JPEG Ghosts characteristics under multiple compression quality factors are converted into tampering probability graphs and multiple remarkable tampering probability graphs are selected and combined into a tampering probability graph. According to the image tampering region detection method, the robustness is strong, false detection is less and computing speed is fast.

Description

technical field [0001] The invention belongs to the technical field of image analysis, and relates to an image tampering area detection method based on secondary JPEG compression. Background technique [0002] In recent years, with the rapid development and popularization of image editing software, modifying image content has become a very simple matter. When the tampered image is used maliciously, it will bring some problems. Like using it as fake legal evidence or fake news pictures. Due to the widespread use of images in the JPEG compression format, tampering detection for JPEG images is particularly meaningful. [0003] Hany Farid in "Exposing Digital Forgeries From JPEG Ghosts" proposed a method to detect JPEG Ghosts features of twice JPEG compression and use this feature to detect image tampering regions. When a low-quality image is inserted into a high-quality image to tamper with the image, the composite image is re-JPEG-compressed with the quality factor of the l...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problem that image texture smooth areas are easy to be misdetected, the present invention introduces a texture smooth area mask, generates a tamper probability map through the mask and JPEG errors, and solves the problem of texture smooth area misdetection

At the same time, in order to overcome the inaccurate problem of estimating the compression quality factor of low-quality images, this method does not directly use the JPEG Ghosts features obtained by re-compressing the compression quality factors of low-quality images, but uses the JPEG Ghosts features under multiple compression quality factors Transform into a tamper probability map, and select multiple significant tamper probability maps to merge into a tamper probability map

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