Fine-grained image splicing area detection method

A technology of area detection and image mosaic, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor robustness, large false detection area, and low precision

Pending Publication Date: 2021-03-02
XIAN UNIV OF TECH
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Problems solved by technology

[0026] The purpose of the present invention is to provide a fine-grained image stitching area detection method, which solves the problems of low precision such as missed detection and large false dete...

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  • Fine-grained image splicing area detection method
  • Fine-grained image splicing area detection method

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Embodiment Construction

[0136] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0137] In the method of the present invention, firstly, three color channels of image R, G, and B are extracted, a linear interpolation model is established, and the interpolation coefficients of the three channels are respectively estimated through the covariance matrix, thereby reconstructing the three channels. Then, the Laplacian operator is used to construct the image forensic features, and the forensic features are binarized and morphologically operated to obtain the coarse-grained detection results of the mosaic region; at the same time, the coarse-grained detection results are divided into blocks to extract coarse The texture intensity characteristics of granular blocks are classified using the Otsu method, and the minority classes in the classification results can be considered as suspicious spliced ​​blocks. On this basis, false dete...

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Abstract

The invention discloses a fine-grained image splicing region detection method, which comprises the following steps of: firstly, extracting RGB (Red, Green and Blue) color channels of an image, establishing a linear interpolation model, and respectively estimating interpolation coefficients of the three channels through a covariance matrix so as to reconstruct the three channels; and then, constructing an image forensic feature by using a Laplace operator, performing binarization processing and morphological operation on the forensic feature, performing non-overlapping blocking on a coarse-grained detection result, extracting texture strength features of coarse-grained blocks, and then performing classification and false detection removal to obtain a detection result of a fine-grained splicing region; and finally, smoothing the edge of the detection result of the fine-grained splicing region through a super-pixel segmentation algorithm to obtain a final detection result of the image splicing region. According to the method, the problem that a common CFA-based image stitching detection method is not robust to JPEG compression is solved.

Description

technical field [0001] The invention belongs to the technical field of image tampering detection, and in particular relates to a fine-grained image splicing region detection method. Background technique [0002] With the rapid development of digital technology and the widespread use of various powerful digital image editing tools, non-professionals can easily beautify, edit, or even tamper and forge digital images, which will destroy the authenticity and integrity of image content. sex and originality. In recent years, many falsified images have been used in scientific research, news media, judicial forensics, finance, military and other fields, seriously affecting the credibility of image content and causing serious negative effects in many fields. [0003] Image content tampering includes heterogeneous image splicing / compositing, homologous image Copy-Move attack, and image local property change. Image stitching / synthesis technology refers to splicing parts of an image t...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/12G06T7/44
CPCG06T7/0002G06T7/11G06T7/12G06T7/44G06T2207/10024G06T2207/20016
Inventor 王晓峰王妍胡钢雷锦锦李斌张旋
Owner XIAN UNIV OF TECH
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