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Image tampering detection method based on haze characteristic

A tampering detection and feature map technology, applied in the field of image processing, can solve problems such as difficult physical feature modeling, and achieve the effect of wide application, strong robustness, and accurate positioning

Inactive Publication Date: 2017-05-17
INST OF INFORMATION ENG CAS
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Problems solved by technology

It is often difficult for this method to model the physical characteristics of tampered and non-tampered regions

Method used

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  • Image tampering detection method based on haze characteristic
  • Image tampering detection method based on haze characteristic
  • Image tampering detection method based on haze characteristic

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specific Embodiment approach

[0042] A kind of specific embodiment that realizes the present invention is as follows, based on a kind of (atmospheric transmission rate here) image tampering detection method, its steps are:

[0043]1) Obtain M atmospheric transmission rate maps by using different existing methods for obtaining atmospheric transmission rates for the input tampered image;

[0044] 2) Subtract the absolute values ​​of the two-phase M atmospheric transmission rate maps to obtain N feature difference maps.

[0045] 3) Combine the superpixel division of the input image, and separate the tampered area and non-tampered area of ​​the input tampered image according to each feature difference map.

[0046] 4) Using low rank to model the similarity between several tampered regions and the similarity between several non-tampered regions, and obtain different weights for the tampered region and non-tampered region of each feature difference map.

[0047] 5) Multiply the weight of the normalized tampered...

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Abstract

The invention relates to an image tampering detection method based on a haze characteristic. The method comprises the following steps of 1) using a plurality of haze characteristic calculation methods to calculate a haze characteristic for an input tampered image and generating several haze characteristic maps; 2) carrying out subtraction on each two haze characteristic maps of the several generated haze characteristic maps, acquiring an absolute value and generating several characteristic difference maps; 3) combining super pixel division of the input image, according to each characteristic difference map, carrying out tampered area and non-tampered area separation on the input tampered image; 4) using a low rank to establish similarities among the tampered areas and the non-tampered areas, and calculating a weight for each tampered area and each non-tampered area; and 5) using the calculated weight to carry out weighting fusion on the tampered areas and the non-tampered areas so as to generate a tampered area positioning map. In the invention, limitation of a splicing tampering detection method based on JPEG compression and a camera internal characteristic can be overcome and detection performance is accurate.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image tampering detection method based on haze characteristics, in particular to an image splicing tampering detection method based on atmospheric transmission rate. Background technique [0002] With the development of multimedia technology, image editing tools have brought great convenience to people, and at the same time, images tampered with by image editing tools often have negative effects on people. When malicious tampered images are uploaded to the Internet and spread through social networks, these malicious information can easily mislead people's perception of facts, which will pose a potential threat to our social stability. Therefore, in order to prevent the dissemination of maliciously tampered images and court forensics, image tampering detection has become an urgent problem to be solved. [0003] Existing image tampering usually includes two methods: copy...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10004
Inventor 操晓春代朋纹郭园方
Owner INST OF INFORMATION ENG CAS
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