2013
DOI: 10.1016/j.dsp.2012.12.014
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Reversible data hiding scheme based on neighboring pixel differences

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Cited by 62 publications
(26 citation statements)
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“…Eq. (49) is used (Li, Yu-Chiang et al, 2010;Tsai, Yuan-Yu et al, 2013) to compute the dissimilarity between the adjacent pixels for each of the CI and SI images.…”
Section: Dissimilarity Between Adjacent Pixelsmentioning
confidence: 99%
“…Eq. (49) is used (Li, Yu-Chiang et al, 2010;Tsai, Yuan-Yu et al, 2013) to compute the dissimilarity between the adjacent pixels for each of the CI and SI images.…”
Section: Dissimilarity Between Adjacent Pixelsmentioning
confidence: 99%
“…In literature, RDH methods are mainly based on the following techniques, such as lossless compression [1][2][3][4][5][6][7][8][9], difference expansion (DE) [10][11][12][13][14], histogram shifting (HS) [15][16][17][18][19][20][21][22][23][24][25], prediction-error expansion (PEE) [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44], integer transform [45][46][47][48][49], etc. Lossless compression based methods hide data by compressing the cover media, such that the original content can be represented in a smaller size and the saved s...…”
Section: Introductionmentioning
confidence: 99%
“…proposed a high accuracy reversible data hiding approach in test images based on PVO and prediction-error expansion (PEE) method measured by PSNR value which found about 51.14 dB. Tsai et al [24] come up with a new data hiding scheme in test images using the histogram method. This algorithm was obtained high embedding capacity and imperceptible distortion.…”
Section: Related Workmentioning
confidence: 99%