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Blind detection method for tampered image based on deconvolution

A blind detection and deconvolution technology, applied in image data processing, image data processing, instruments, etc., can solve problems such as the impossibility of blind detection methods

Inactive Publication Date: 2009-06-10
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, there are many ways for tamperers to tamper with images, and it is almost impossible to develop a blind detection method suitable for all tampering methods.

Method used

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  • Blind detection method for tampered image based on deconvolution
  • Blind detection method for tampered image based on deconvolution
  • Blind detection method for tampered image based on deconvolution

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Embodiment Construction

[0083] A preferred embodiment of the present invention is described in detail as follows in conjunction with the figure: The present invention aims to provide a deconvolution-based image blind detection method, and the specific detection process is as follows figure 2 shown. This method first uses the image to be detected to artificially estimate the tampered area and the untampered area, and estimates the desharpening function experienced by the untampered area from the untampered area, and finally uses the desharpening function to perform Wiener filtering on the image to be detected to realize tampering. Image detection. The specific steps are:

[0084] 1. Artificially identify the suspicious area of ​​the image, that is, the tampered area y doctored , generally the tampered area is to cover up part of the data of the original image to achieve the purpose of tampering with certain facts, so the tampered area generally has complete content characteristics, and the correspo...

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Abstract

The invention discloses a deconvolution-based tampered image blind detection method and belongs to the field of image information safety. The method uses deconvolution and Wiener filtering techniques to realize the blind detection of blurred and tampered images. The method comprises: firstly, manually and initially determining the position of the tampered region of an image to be detected; secondly, extracting a plurality of subimages of the rest region which is not tampered and building a data block approximately meeting a complete convolution relation by using the plurality of subimages; estimating a blurring function of the region which is not tampered from the data block by an alternant interactive blind deconvolution method; and finally, using the estimated blurring function to carry out Wiener filtering to the whole image and using the filtering results to identify whether or not the image to be detected is tampered and the concrete tampered region. The method is simple and effective and has certain application prospect in the field of image information safety.

Description

technical field [0001] The invention relates to a deconvolution-based blind detection method for tampered images. This method considers that the original area (non-altered area) of some tampered images has undergone some kind of desharpening, while the tampered area is the result of artificial desalination, and the original area and the tampered area have different desharpening functions. Therefore, the blind deconvolution technique can be used to estimate the original desharp function from the image data of the original region, and based on this desharp function, Wiener filtering is performed on the entire image to highlight the falsified region. This method has a certain application prospect in the field of image information security. Background technique [0002] As an extremely important way of expressing information, images are widely used in various fields of society. However, with the continuous introduction of image processing software with low cost, high performan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
Inventor 王睿方勇
Owner SHANGHAI UNIV
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