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Image Lossless Data Embedding Method Based on Double Threshold

A dual-threshold, data-based technology, applied in image data processing, image data processing, instruments, etc.

Inactive Publication Date: 2011-11-30
SHENZHEN POKA ELECTRONICS EQUIP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The image lossless data embedding method of prediction error sequential method and queuing method, odd and even rows and columns are done separately, but only 4 neighborhoods of 3×3 windows can be used

Method used

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  • Image Lossless Data Embedding Method Based on Double Threshold
  • Image Lossless Data Embedding Method Based on Double Threshold
  • Image Lossless Data Embedding Method Based on Double Threshold

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] The principle of this dual-threshold image lossless data embedding method:

[0031] Prediction error method: Image lossless data embedding can be carried out in the airspace. Since the natural image has obvious continuity in the airspace, the correlation is too strong, and the information redundancy is small, which is reflected in the relatively flat information distribution. Therefore, the embedded information is small, and the image after embedding data Big change, low PSNR. Through the prediction error transformation of the image, the continuity in the prediction error is not obvious, the correlation becomes weaker, and the information redundancy is large, which is reflected in the relatively sharp information distribution, so the embedded information is large, the image changes after the embedded data is small, and the PSNR is high.

[0032]...

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Abstract

A double-threshold image lossless data embedding method, comprising the steps of: 1) setting an embedding threshold T and a fluctuation threshold TF, and setting a variable P=T; 2) scanning an embedded image with an image window, and calculating the image window at each scanning position The grayscale prediction error y of the inner central pixel and the neighborhood fluctuation value F, if F≤TF, then compare the grayscale prediction error y and P, construct a histogram pair, embed the data, and determine the grayscale value of the central pixel in the image window, Then the image window moves to the next scanning position; otherwise, the image window directly moves to the next scanning position; 3) judge whether the data to be embedded has been embedded, if it has been embedded, use P at this time as the embedding stop point S, and end; Otherwise reset P and go to step 2). This method can embed a large amount of information, the image changes little after embedding data, and the PSNR is high.

Description

technical field [0001] The invention relates to a lossless data embedding technology, in particular to a double-threshold image lossless data embedding method. Background technique [0002] Image lossless data embedding technology, that is, lossless data hiding technology, can be divided into wavelet method and prediction method, wavelet method, such as: [0003] [1] J.Tian, ​​"Reversible data embedding using a difference expansion," IEEE Transaction on Circuits and Systems for Video Technology, 2003, 13(8): 890-896. method); [0004] [3] L.Kamstra and H.J.A.M.Heijmans, "Reversible data embedding into images using wavelet techniques and sorting," IEEE Transactions on Image Processing, vol.14, no.12, pp.2082-2090, December 2005. (wavelet plus embedding The image lossless data embedding method of the position map method and the queuing method); [0005] [4] D.Coltuc and J.M.Chassery, "Very fast watermarking by reversible contrastmapping," IEEE Signal Processing Letters, Vol...

Claims

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Application Information

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IPC IPC(8): G06T1/00
Inventor 刘连生刘海生宣国荣童学峰
Owner SHENZHEN POKA ELECTRONICS EQUIP
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