2006
DOI: 10.1007/11922841_28
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A Reversible Watermarking Based on Histogram Shifting

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Cited by 126 publications
(75 citation statements)
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References 8 publications
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“…The embedding capacity of proposed algorithm is about seven times higher than Honsinger, Macq, Fridrich, Vleeschouwer algorithms, 1.5 times higher than Zeng and nine times higher than that of Ni et al [13]. PSNR of proposed algorithm is 6.61 dB and 9.96 dB higher than that of Ni et al [13] and Hwang et al [11], respectively and the visual quality of the composite image produced using proposed algorithm is also good. From the comparisons with the existing algorithms, one can observe that proposed algorithm has achieved highest PSNR with large data embedding capacity.…”
Section: Jpeg2000 Compression Attackmentioning
confidence: 74%
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“…The embedding capacity of proposed algorithm is about seven times higher than Honsinger, Macq, Fridrich, Vleeschouwer algorithms, 1.5 times higher than Zeng and nine times higher than that of Ni et al [13]. PSNR of proposed algorithm is 6.61 dB and 9.96 dB higher than that of Ni et al [13] and Hwang et al [11], respectively and the visual quality of the composite image produced using proposed algorithm is also good. From the comparisons with the existing algorithms, one can observe that proposed algorithm has achieved highest PSNR with large data embedding capacity.…”
Section: Jpeg2000 Compression Attackmentioning
confidence: 74%
“…In spatial domain methods, secret data is embedded directly into the pixels of the cover image. Some spatial domain methods are discussed into [11][12][13][14]. However, these methods have low capacity and are not robust enough to the image processing operations.…”
Section: Introductionmentioning
confidence: 99%
“…Reversibility means that original image is completely recovered from watermarked image without any distortion After embedded message has been extracted.The stego images are restored to their original states using reversible data hiding techniques after extracting the hidden data. Such techniques can be classified into three groups: (1) based on data compression; (2) based on pixel-value difference expansion [1], [2]; and (3) based on histogram shifting [3], Fridrichet al [4] losslessly compresses some selected bit plane(s) to leave space for data embedding. Difference expansion scheme by Tian [2] selects some expandable difference values of pixels, and embeds one bit into each of them.…”
Section: Introductionmentioning
confidence: 99%
“…The disadvantage is prior knowledge of histogram minimum and maximum values should be known at the receiver in order to extract the data from cover medium. Hwang et al [4] solved this problem by proposing a new RDH scheme to store the reversible data based on a location map by selecting the minimum point to be recorded and change one bit position in it to increase the embedding capacity.…”
Section: Introductionmentioning
confidence: 99%