A High Capacity Reversible Watermarking Method Based on Adaptive Prediction Model

An adaptive prediction and prediction model technology, applied in image data processing, instrumentation, image data processing, etc., can solve problems such as high embedding distortion, achieve high prediction accuracy and improve embedding capacity

Inactive Publication Date: 2017-02-01
GUANGDONG UNIV OF TECH
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Problems solved by technology

However, if only two adjacent pixels of a certain pixel are used to predict this pixel, the prediction accuracy will not be very high, and the watermark embedding of the obtained prediction error will lead to high embedding distortion

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  • A High Capacity Reversible Watermarking Method Based on Adaptive Prediction Model
  • A High Capacity Reversible Watermarking Method Based on Adaptive Prediction Model
  • A High Capacity Reversible Watermarking Method Based on Adaptive Prediction Model

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Embodiment Construction

[0021] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, so as to understand the essence of the present invention more clearly and intuitively.

[0022] The high-capacity reversible watermarking method based on the self-adaptive prediction model of the present invention includes a watermark embedding process, a watermark extraction and an original image recovery process.

[0023] refer to figure 1 As shown, in the watermark embedding process, four kinds of prediction models are firstly designed: prediction model 1, prediction model 2, prediction model 3, prediction model 4, in each prediction model, a pair of size is original image of All the pixels are divided into the first type of pixels and the second type of pixels; the first type of pixels accounts for about a quarter of all pixels, forming a set of pixels used to predict the second type of pixels, called the first...

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Abstract

The invention discloses a high-capacity reversible watermarking method based on an adaptive prediction model; it includes a watermark embedding process, watermark extraction and original image restoration process; the watermark embedding process includes a prediction model design process and an adaptive embedding strategy; The process of watermark extraction and original image recovery is the inverse process of the watermark embedding process; the present invention obtains a prediction model with high prediction performance by making full use of the characteristics of high correlation between adjacent pixels, thereby effectively reducing the The high embedding distortion generated when watermark embedding is modified by the prediction error; in addition, by evaluating the correlation degree of the four surrounding pixels of each pixel in the set to be embedded, about three quarters of all pixels can carry 1‑ A 2-bit watermark, therefore, achieves an increase in capacity.

Description

technical field [0001] The invention relates to the technical field of multimedia signal processing, in particular to a high-capacity reversible watermarking method based on an adaptive prediction model. Background technique [0002] Traditional digital watermarking technology will cause permanent distortion of the host image. However, in some practical applications, a little bit of permanent modification of the host image is not allowed, such as medical, military and judicial fields. Taking medical images as an example, distortion of any kind is not allowed. The acquisition of any medical image requires the support of precision instruments and expensive medical expenses. More importantly, distortion may cause potential misdiagnosis. For example, for an ECG (electrocardiographic) signal graph, any abnormality in the signal curve may be interpreted as a certain pathological feature. Therefore, traditional digital watermarking techniques are not suitable for medical images....

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/00
CPCG06T1/0028G06T2201/0051G06T2201/0083G06T2201/0203
Inventor 翁韶伟张天聪潘正祥
Owner GUANGDONG UNIV OF TECH
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