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Digital image stitching tampering blind detection method

A digital image, blind detection technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of inability to distinguish the authenticity of digital images with the naked eye, to reduce the number of iterations, overcome energy leakage, strong adaptability Effect

Active Publication Date: 2016-10-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

People can arbitrarily tamper with digital images according to their own wishes, so that others cannot distinguish the authenticity of a digital image with naked eyes

Method used

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  • Digital image stitching tampering blind detection method

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Embodiment Construction

[0037] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0038] Such as figure 1 As shown, it is an implementation flowchart of the digital image splicing and tampering blind detection method of the present invention, and the specific steps are as follows:

[0039] 1. Local mean decomposition (LMD) feature extraction

[0040] In essence, the LMD method is a process of separating the pure FM signal and the envelope signal from the original signal in the order of frequency from high to low according to the local time scale characteristics of the signal. After multiplying the pure FM signal and the envelope signal A PF component can be obtained, and the instantaneous frequency has physical meaning. Iterative processing separat...

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Abstract

The invention discloses a digital image stitching tampering blind detection method, which respectively utilizes an LMD (Local Mean Decomposition) method and a CCDCT method to extract image features, wherein the LMD method decomposes original signals into the sum of a plurality of PF components, the PF components are obtained by multiplying envelope signals and pure frequency modulation signals, the envelope signals represent the instantaneous amplitude of the PF components, and instantaneous frequency is obtained by the pure frequency modulation signals. Accordingly, the instantaneous amplitude and instantaneous frequency of all PF components form the complete time-frequency distribution of the original signals; based on this, feature extraction can reflect influence caused by stitching operation to a certain degree. Stitching operation may influence image features such as smoothness, conformity, continuousness, regularity, etc. so as to change inner links among pixels; a series of two-dimensional arrays can be obtained by utilizing the CCDCT method to reflect feature changes, so that the CCDCT method can extract features and effectively stitching images; features extracted by two methods are used as mixing features to verify image authenticity combined with an Adaboost classifier, and better effects can be obtained.

Description

technical field [0001] The invention relates to a method for blind detection of digital image splicing and tampering, in particular to a method for extracting features of an image and judging whether it has been spliced ​​and tampered, and belongs to the technical field of digital image processing. Background technique [0002] With the development of electronic technology, digital images have been widely used in people's daily work, study and life, but advanced technology is often a double-edged sword, which brings convenience to people and also causes many troubles. People can arbitrarily tamper with digital images according to their own wishes, so that others cannot distinguish the authenticity of a digital image with naked eyes. Digital image security authentication technology can guarantee the authenticity of digital image information, and it is a kind of information security technology that is vigorously developed at present. Compared with active authentication techno...

Claims

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Application Information

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IPC IPC(8): G06T1/00G06T7/00G06K9/62G06K9/46
CPCG06T1/0042G06T7/0002G06T2207/10004G06V10/44G06F18/2148
Inventor 周大可黄经纬杨欣陈志轩罗威林项聪颖
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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