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Camera source identification method based on image content self-adaption

A technology of image content and recognition method, which is applied in the directions of character and pattern recognition, still image data retrieval, still image data clustering/classification, etc. It can solve the problems of noise residual and failure to consider the influence, and achieve the goal of reducing recognition error Effect

Active Publication Date: 2020-05-19
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0004] The existing camera source recognition technology mainly filters the original images of all known camera sources in the database to obtain the reference pattern noise of each camera; for the test image, the same filter is used to obtain the noise residual, and then Calculate the correlation coefficient between the camera reference pattern noise and the noise residual of the image to be tested, and determine the camera source of the image to be tested according to the size of the correlation coefficient, without considering the impact of different quality images in the image database on the camera source recognition

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[0028] In order to make the purpose, technical solution, design method and advantages of the present invention clearer, the present invention will be further described in detail through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have different values.

[0030] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0031] On the premise that there are a large number of known camera sources and image libraries of different qualities, the camer...

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Abstract

The invention provides a camera source identification method based on image content self-adaption. The method comprises the steps: establishing a camera reference mode noise library, wherein each camera corresponds to multiple subclass reference mode noises, and different subclass reference mode noises reflect different image qualities and contents; for the to-be-detected image, judging the subclass to which the to-be-detected image belongs according to the image quality and content, and calculating the noise residual error of the to-be-detected image; and calculating the correlation between the noise residual error of the image to be measured and the corresponding subclass reference mode noise of each camera in the camera reference mode noise library, and further determining the camera source of the image to be measured. The method provided by the invention can effectively reduce the recognition error of the camera source.

Description

technical field [0001] The invention relates to the technical field of camera source recognition, in particular to a camera source recognition method based on image content self-adaptation. Background technique [0002] With the rapid upgrading of modern digital products, digital images are becoming more and more widely used in daily life. The development and application of digital image editing software makes digital images easier to be processed, even forged and maliciously tampered with. For example, when an image with copyright protection is re-shot and released without the authorization of the copyright owner, camera source recognition technology can be used to collect evidence, distinguishing whether a disseminated image is an original image or an image re-taken by other cameras, To determine the copyright of the image. Another example is that a certain part of an image is replaced by a certain part of a photo taken by another camera through image processing software...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F16/55
CPCG06F16/55G06V20/35G06F18/24
Inventor 张玉兰朱国普杨建权常杰刘祖权
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI