Prediction-error based reversible watermarking

Thodi, D.M.; Rodriguez, J.J.

doi:10.1109/icip.2004.1421361

Cited by 146 publications

(89 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A novel blind watermarking approach that ensures security of ownership in relational databases is studied. Here, an embedding technique which is reversible called Prediction-error Expansion(PEE) on integers is used [12], [13], [14]. The concept of PEE is modified and more efficient watermarking concept is introduced.…”

Section: Related Workmentioning

confidence: 99%

A Survey on Reversible Watermarking Schemes for Relational Data

2017

IJRTER

View full text Add to dashboard Cite

Abstract-"In recent years, ease of the Internet has boosted use of information systems comprising relational data. Relational Databases have been extensively used for information extraction within collaborative environments. In this context, protecting ownership rights and data integrity along with tackling data tampering have become the major issue. Watermarking approaches have been introduced to overcome these issues. It is important for a watermarking method to outperform for maintaining data quality of relational data while recovering data with watermark. Here, reversible watermarking approaches for relational database are compared and studied. These methods ensures data quality along with data recovery in presence of malicious attacks (insertion, deletion and alteration).

show abstract

Section: Related Workmentioning

confidence: 99%

A Survey on Reversible Watermarking Schemes for Relational Data

2017

IJRTER

View full text Add to dashboard Cite

show abstract

“…However, expanding the larger difference in the complexity region of the image causes serious distortion of the stego image. In order to solve this problem, Thodi and Rodriguez [6] proposed a prediction-based hiding method that used the inherent edge-detection method to derive the prediction value of the cover ones. Since the inherent edge-detection analyzes the relationship among three neighboring pixels of the cover pixels, the prediction error is smaller than the difference between two adjacent pixels.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the private data of a patient were embedded into the medical image, which causes the distortion problem and erroneous judgments by doctors. Figure 2 shows that reversible data hiding methods can be classified mainly into two types, i.e., the frequency domain [2,3] and the spatial domain [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The frequency domain is used to transform the cover pixels in the image into coefficients and embed data into the coefficients.…”

Section: Introductionmentioning

confidence: 99%

“…To enhance the hiding capacity, Lu et al [20] proposed a center folding strategy that can embed a set of K secret bits into a pair of pixels. In addition, the strategy can The current methods in the spatial domain can be classified mainly into five types, i.e., the compression method [4], difference expansion [5], prediction [6][7][8][9][10][11], histogram [12][13][14], and dual-image [15][16][17][18][19][20][21][22][23]. In 2002, Celik et al [4] proposed a compression-based hiding method that quantified the pixels in the image and recorded the values of remainders, which were used as recovery information.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Effective Dual-Image Reversible Hiding for UAV’s Image Communication

2018

View full text Add to dashboard Cite

Abstract:Compared with traditional hiding methods, dual-image reversible data hiding methods have a higher embedding rate and a better quality stego image. Also, this is a special case of secret sharing, because secret data cannot be extracted from any stego image. In the literature, the frequencies of occurrence of secret data were used as reference information for data encoding, in which most digits were transformed into smaller ones. The encoding strategy can effectively decrease the modification level of the pixel. However, only limited literature has analyzed the relationship between the adjacent secret data. In this paper, we proposed an exclusive-or (XOR)-based encoding method to convert the neighboring values, thereby reducing the distortion. Since there are significant similarities between the two stego images and the original image, the first stego image is stored on an unmanned aerial vehicle (UAV) to avoid a hacker's interception attack. The second stego image on the UAV is sent to the command station. After completion of the UAV mission, the proposed method extracts the secret data from the two stego images to identify whether the second stego image has been tampered with.

show abstract

“…Of course, the data can be the copyright or other information about the cover media. In the last decade, many reversible data embedding methods have been proposed [30,31,32,33,34].…”

Section: Introductionmentioning

confidence: 99%

A Wavelet Based Digital Watermarking method using Thresholds on Intermediate Bit Values

Perumal¹,

Vijayakumar²

2011

IJCA

View full text Add to dashboard Cite

Many researchers are concentrating to provide a high confidentiality and data integrity to protect against unauthorized access. The network security is becoming a very important and crucial aspect as the number of data being exchanged and number of users being communicated on the internet increases rapidly day by day. Therefore confidentiality of users and data integrity are required to protect against unauthorized access. To address the issues of authentication, the present paper proposes a novel wavelet based Digital Watermarking (DW) approach with two steps. In the first step a Threshold, based on Intermediate Bit Values (TIBV) of image pixels is proposed by selecting the image pixel for inserting the watermark. In the second step Alattar"s method is used for inserting the Digital Watermark (DW) bits in the selected pixels of the first step. These two steps make the proposed TIBV-DW method as more effective and difficult to break. To test the efficacy of the proposed TIBV-DW method, various statistical measures by considering combinations of various attacks are evaluated on various experimental images, which indicate high robustness, imperceptibility, un-ambiguity, confidentiality and integrity of the present method.

show abstract

Prediction-error based reversible watermarking

Cited by 146 publications

References 6 publications

A Survey on Reversible Watermarking Schemes for Relational Data

A Survey on Reversible Watermarking Schemes for Relational Data

An Effective Dual-Image Reversible Hiding for UAV’s Image Communication

A Wavelet Based Digital Watermarking method using Thresholds on Intermediate Bit Values

Contact Info

Product

Resources

About