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Image reversible information hiding method driven by convolutional neural network

A convolutional neural network and information hiding technology, which is applied in the field of image reversible information hiding driven by convolutional neural network, can solve the problems of insufficient use of image pixel spatial correlation, limited pixel prediction accuracy, etc. Image quality, the effect of improving pixel prediction accuracy

Active Publication Date: 2021-12-03
UNIV OF SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, most of the existing image reversible information hiding methods only use a single image pixel predictor, which cannot fully utilize the spatial correlation of image pixels, and the pixel prediction accuracy is limited.

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  • Image reversible information hiding method driven by convolutional neural network
  • Image reversible information hiding method driven by convolutional neural network
  • Image reversible information hiding method driven by convolutional neural network

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Embodiment Construction

[0019] Next, the technical solutions in the embodiments of the present invention will be described in the following examples, and it is understood that the described embodiments are merely embodiments of the invention, not all of the embodiments of the invention. Based on the embodiments of the invention, all other embodiments obtained without making creative labor premises, in the preceding embodiments of the present invention.

[0020] First, the terms that may be used herein are submitted as follows:

[0021] The term "comprising", "comprising", "containing", "having" or other similar semantic description, should be interpreted as unmissive. For example, including a technical feature, such as raw materials, components, components, carriers, dosage forms, materials, sizes, parts, components, mechanisms, devices, steps, steps, methods, reaction conditions, processing conditions, parameters, algorithms, signals, Data, products or products, etc.), should be construed as including n...

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Abstract

The invention discloses an image reversible information hiding method driven by a convolutional neural network. According to the image reversible information hiding method, an image pixel predictor meeting an optimal prediction performance protection condition is constructed by combining an image pixel predictor based on a convolutional neural network and a traditional image pixel predictor. According to the image reversible information hiding method, the defect that a single image pixel predictor is used is overcome, the spatial correlation of image pixels is better utilized, and the pixel prediction precision and the secret-carrying image quality of the image reversible information hiding method are improved.

Description

Technical field [0001] The present invention relates to the field of information hiding, and more particularly to an image reversible information hiding method of convolutional neural network driven. Background technique [0002] Image reversible information is hidden as a technology that can reverse the data reversibly embedded into the carrier image, play an important role in archival management, judicial approval, and medical image processing. [0003] Reprincibility means that the original carrier image can be returned after the embedded data is obtained. The core problem of image reversible information hidden is to construct a steep predictive error histogram by image pixel predictors. [0004] However, most of the existing image reversible information hiding methods use only a single image pixel predictor, and the spatial correlation of the image pixels cannot be sufficiently utilized, and the pixel prediction accuracy is limited. Inventive content [0005] It is an object...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06N3/04G06N3/08
CPCG06T1/0021G06N3/08G06N3/045Y02D10/00
Inventor 姚远志张晓雅俞能海
Owner UNIV OF SCI & TECH OF CHINA