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Image tampering detection method based on two-dimensional sliding window DFT fast calculation

A fast calculation and inspection method technology, applied in calculation, image enhancement, image analysis, etc., can solve the problem of difficult to distinguish the authenticity of images

Active Publication Date: 2017-01-04
SOUTHEAST UNIV
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Problems solved by technology

Especially with the popularity of image software applications, this tampering method is simple and effective, so that the authenticity of the image is becoming more and more difficult to distinguish

Method used

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  • Image tampering detection method based on two-dimensional sliding window DFT fast calculation
  • Image tampering detection method based on two-dimensional sliding window DFT fast calculation
  • Image tampering detection method based on two-dimensional sliding window DFT fast calculation

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Embodiment Construction

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] like figure 1 Shown is an image copy-paste tampering inspection method based on two-dimensional sliding window DFT fast calculation, including the following steps:

[0056] The first step: convert the color image to be tested into a grayscale image.

[0057] Step 2: Overlap the grayscale image into blocks. At this time, when overlapping blocks, the row data between adjacent windows changes by two points, that is, as figure 1 The data change amount of adjacent sub-blocks shown is two columns.

[0058] The third step: according to the multi-point sliding DFT algorithm shown in formula (3) (4), calculate the image feature of each image block.

[0059] Step 4: Perform feature matching on all images, and delineate according to the matching results such as figure 2 As shown in the matching region s, this process we call a rough test.

[0060] Step 5: Re-overlap ...

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Abstract

The invention discloses an image copy and paste tampering detection method based on two-dimensional sliding window DFT fast calculation. The features of a tampered image are extracted by employing a multipoint sliding window DFT (Discrete Fourier Transform) fast algorithm, tampered pixel positions are detected, and a feature extraction speed and the detection quality are analyzed. By adoption of the method, a detection method combining a multipoint sliding window DFT algorithm with a single-point sliding window DFT algorithm is provided to achieve better balance between the detection speed and the detection quality. Under normal circumstances, in order to ensure the integrity of the image, tampering mainly focuses on local variation, and otherwise tampering traces can be found easily via intuitive vision. When the proportion of the tampered part of the image in the entire image is not large, the calculated amount of the improved detection method provided by the invention has relatively high computational efficiency.

Description

technical field [0001] The invention relates to a technology for applying a fast algorithm of multi-point sliding two-dimensional sliding window DFT transformation to image tampering inspection, which can be applied to the fields of image processing, digital image blind evidence collection, criminal investigation evidence collection and the like. Background technique [0002] Image tampering refers to the purpose of forging or concealing sensitive information by partially modifying the original pixels of the image. Copy-paste image forgery is a common method of tampering, and the inspection of this type of image is one of the most active research areas in image-blind forensics methods [1] . The so-called image copy and paste tampering is a method of selecting and copying an area of ​​an image and pasting it into the same image for tampering. Especially with the popularity of image software applications, this tampering method is simple and effective, so that the authenticit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/20056G06T2207/30168
Inventor 董志芳宋凯文
Owner SOUTHEAST UNIV
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