Image scrambling evaluation method and device

A technology of image scrambling and evaluation method, applied in image analysis, image data processing, instrument and other directions, to achieve the effect of good scrambling degree evaluation

Active Publication Date: 2016-09-21
CHINA THREE GORGES UNIV
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Problems solved by technology

[0006] In order to solve the problem of directly extracting the structure information of the scrambled image, the embodiment of the present invention provides an image scrambling evaluation method and device

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  • Image scrambling evaluation method and device
  • Image scrambling evaluation method and device

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0036] It should be noted that the gray scale of a digital image can be represented by various data types, such as binary data, integer, single precision, double precision, etc. Therefore, the binary digits corresponding to images of different data types are also different, preferably Specifically, in the embodiment of the present invention, the data types of the original image and the scrambled image are unsigned integers, that is, the grayscale range of the data is 0-255, and the grayscale range can be represented by 8-bit binary numbers. For images of other numerical types, numerical type conversion is required so that the grayscale range is 0-255. In the embodiment of the present invention, the data types of the original image and ...

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Abstract

The invention discloses an image scrambling evaluation method and device, belonging to the field of digital image processing. The method includes: respectively performing bitwise layering on the original image and at least one scrambled image, obtaining a bitmap image of the original image and a bitmap image of the at least one scrambled image; according to the cross-cortical neural network A model that extracts features from the bitmap image of the original image and the bitmap image of the at least one scrambled image to obtain the structural feature sequence of the original image and the structural feature of the at least one scrambled image Sequence: calculating according to the structural feature sequence of the original image and the structural feature sequence of the at least one scrambled image to obtain the scrambling degree of the at least one scrambled image. The present invention realizes the direct extraction of structural feature information of the image by layering the original image and at least one scrambled image by bit and using a cross-cortical neural network model to perform feature extraction, thereby better evaluating the scrambling degree.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to an image scrambling evaluation method and device. Background technique [0002] With the rapid development and wide application of computer network technology, data transmission through the network has become very convenient and fast. At the same time, data security has also received more and more attention. Image scrambling is an encryption method for image data. Through this technology, image information can be hidden to ensure the security of image data in network transmission. For scrambled images, the higher the scrambling degree, the better the encryption effect of image data. Therefore, the effective evaluation of scrambling degree has important theoretical and practical significance in information encryption. [0003] In the prior art, the pulse-coupled neural network model is used to evaluate the scrambled image, the feature sequence of the scrambled image is ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 徐光柱雷帮军李春林
Owner CHINA THREE GORGES UNIV
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