A HDWT-based reversible data hiding method

Chan, Yung-Kuan; Chen, Wen-Tang; Yu, Shyr-Shen; Ho, Yu-An; Tsai, Chwei-Shyong; Chu, Yen-Ping

doi:10.1016/j.jss.2008.07.008

Cited by 54 publications

(29 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rule to hide the secret bit b is as shown in Eq. (1) and (2). Take n = 2 and it can be defined 1) S = {(x, y) ∈ Z 2 : |x − y| = 1} and T = Z 2 − S.…”

Section: Related Work 21 Ni Et Al's Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Reversible Data Hiding Technique based on Histogram Shifting and Efficient use of Location Map

Mathew¹,

Selvarani²

2014

IJCA

View full text Add to dashboard Cite

In this paper a reversible data hiding method which uses a novel algorithm based on histogram sifting is proposed. The distortion that occurs due to embedding can be completely removed during the data extraction. The proposed method uses double embedding to increase the reversibility. Location map information is embedded into the image itself, so that the reversibility can be easily achieved. The lower bound of PSNR for the proposed method is 51.73dB for 20000 bits. Moreover, the proposed method is quite simple and efficient. Experimental results show that the new method performs better than existing methods.

show abstract

“…The rule to hide the secret bit b is as shown in Eq. (1) and (2). Take n = 2 and it can be defined 1) S = {(x, y) ∈ Z 2 : |x − y| = 1} and T = Z 2 − S.…”

Section: Related Work 21 Ni Et Al's Methodsmentioning

confidence: 99%

“…Depending on different image features, data hiding can be classified into three domains namely spatial domain [1], [3], [ 8], compression domain [6], [11] and frequency domain [2], [5]. The main idea of image processing in spatial domain is to handle the pixels directly by varying pixel values.…”

Section: Introductionmentioning

confidence: 99%

A Novel Reversible Data Hiding Technique based on Histogram Shifting and Efficient use of Location Map

Mathew¹,

Selvarani²

2014

IJCA

View full text Add to dashboard Cite

show abstract

“…Criteria such as bit error rate (BER) [9], peak signal-to-noise ratio (PSNR) [10,11], structural similarity (SSIM) [12] are used to utilized success of data hiding application. A lot of data hiding methods are evaluated with this criteria [13][14][15][16][17]. There are two kind of data hiding application.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

Doğan¹

2018

IJCNIS

View full text Add to dashboard Cite

Abstract-In this paper, a new data hiding algorithm based on pixel pairs using chaotic map is proposed. Data hiding scheme is created by applying modulo function to pixel pairs. In here, pseudo random number generator (PRNG) is obtained from chaotic maps. The PRNG is very important for this algorithm since the data hiding coefficients are chosen by PRNG. For example, if the coefficient is 0, subtraction operator is used between pixel pairs. If coefficient is 1, summary operator is used for selected pixel pairs. The proposed algorithm is evaluated by embedding different sized secret data into different test images. This method is compared with the determined studies in the literature and the obtained results is evaluated. In this study, special rules are also defined to pixels which have boundary values for resolve overflow/underflow problem.Minimal changes are performed to reach the desired value of the pixel values. According to the results obtained, the proposed algorithm has high visual quality, good running time, secure and high payload capacity.

show abstract

“…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%

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

A HDWT-based reversible data hiding method

Cited by 54 publications

References 9 publications

A Novel Reversible Data Hiding Technique based on Histogram Shifting and Efficient use of Location Map

A Novel Reversible Data Hiding Technique based on Histogram Shifting and Efficient use of Location Map

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

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

Contact Info

Product

Resources

About