Image Lossless Data Embedding Method Based on Double Threshold

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...

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

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