A Reversible Watermarking Based on Histogram Shifting

Hwang, Jin‐Ha; Kim, Jongweon; Choi, Jaewon

doi:10.1007/11922841_28

Cited by 126 publications

(75 citation statements)

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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Data Hiding Algorithm for Images Using Discrete Wavelet Transform and Arnold Transform

Kasana¹,

Singh²,

Bhatia³

2015

J Inf Process Syst

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In this paper, data hiding algorithm using Discrete Wavelet Transform (DWT) and Arnold Transform is proposed. The secret data is scrambled using Arnold Transform to make it secure. Wavelet subbands of a cover image are obtained using DWT. The scrambled secret data is embedded into significant wavelet coefficients of subbands of a cover image. The proposed algorithm is robust to a variety of attacks like JPEG and JPEG2000 compression, image cropping and median filtering. Experimental results show that the PSNR of the composite image is 1.05 dB higher than the PSNR of existing algorithms and capacity is 25% higher than the capacity of existing algorithms.

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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%

Data Hiding Algorithm for Images Using Discrete Wavelet Transform and Arnold Transform

Kasana¹,

Singh²,

Bhatia³

2015

J Inf Process Syst

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“…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%

Improved Implementation of Histogram Shifting in Digital Watermarking Image using Threshold

Sabeeh¹,

Ahmed²,

Omar³

2018

Eighth International Conference on Advances in Computing, Electronics and Electrical Technology - CEET 2018

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Abstract-With advance of high speed computer networks, multimedia, transmission technology, an amount of information is being communicated in digital form .Numerous watermarking techniques have been developed to protect images with high security performance. For the proposed method, shifting is applied for embedding stage, add to that our contribution in this method involved the threshold concept to improve the visual quality, embedding capacity, data loss of the host image. The performance of the proposed watermarking schemes have been evaluated by using the watermarked images of size 512×512(standard images) and also applied (medical images), and the watermark (payload) is of the same size as the host image. Simulation results demonstrate that the proposed algorithm generates high performances in the visual quality, PSNR,SSIM between original image and watermarked image, and the hiding capacity compared to the previous works.

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“…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%

Distortionless Data Hiding for Encrypted Images: A DCT Approach

Nemani¹,

Talari²,

Sumalatha³

2017

JESTR

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An enhanced image quality for Distortionless Data Hiding (DDH) by Discrete Cosine Transform in images encrypted was implemented in this work. The DDH is commonly called reversible data hiding (RDH), referred as technique recovering input image with no distortion from stego image by separating the concealed information. Information can be implanted into the encrypted pictures by creating vacant space after encryption or before encryption. The former has the disadvantage of image degradation by data separation as well as on image recovery. To overcome the disadvantage, creating a vacant space before encryption such that it can attain real reversibility i.e. information can be separated from the cover picture with no degradation. Experiments result in a larger amount of data up to 1,31,072 bits embedded with better PSNR value in comparison to existing technique.

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A Reversible Watermarking Based on Histogram Shifting

Cited by 126 publications

References 8 publications

Data Hiding Algorithm for Images Using Discrete Wavelet Transform and Arnold Transform

Data Hiding Algorithm for Images Using Discrete Wavelet Transform and Arnold Transform

Improved Implementation of Histogram Shifting in Digital Watermarking Image using Threshold

Distortionless Data Hiding for Encrypted Images: A DCT Approach

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