Reversible data hiding using side-match predictions on steganographic images

Hsu, Fu-Hau; Wu, Min-Hao; Wang, Shiuh-Jeng

doi:10.1007/s11042-012-1047-7

Cited by 17 publications

(36 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And, we use the payload-distortion behavior to demonstrate the performance of the proposed method. The payload-distortion performance of the proposed method is evaluated by comparing it with the state-of-the-art methods of Sachnev et al [16], Hong et al [6], Luo et al [12], Li et al [9], and Hsu et al [7]. It can be observed from Fig.…”

Section: Payload-distortion Performancementioning

confidence: 99%

“…2 that, the proposed method outperforms these state-of-the-art works in terms of the payload-distortion performance. Table 1 and Table 2 show the PSNRs due to different RDH methods for the [7] and the proposed method. required payloads 10,000 bits and 20,000 bits, respectively.…”

Section: Payload-distortion Performancementioning

confidence: 99%

“…Later on, more efficient techniques are introduced to increase the embedding capacity and/or keep the embedding distortion low, such as difference expansion (DE) [18] and histogram shifting (HS) [13]. Since the DE and HS can reduce the embedding distortion and provide a sufficient embedding payload, various RDH techniques have been developed along these two lines to maintain a good payload-distortion performance, e.g., integer wavelet transform (IWT) [1,8,19], prediction error (PE) [6,7,10,12], prediction error expansion (PEE) [3,4,9,14,16,17], and so on. In addition, the RDH in terms of the payload limit subjected to a given distortion has also been studied and designed to approach the theoretical bound [11,20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

PPE-Based Reversible Data Hiding

Wang

Shi

2016

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security

View full text Add to dashboard Cite

This paper presents a novel reversible data hiding (RDH) algorithm for gray-scaled images, in which the predictionerror of prediction error (PPE) of a pixel is used to carry the secret data. In the proposed method, the pixels to be embedded are firstly predicted with their neighboring pixels to obtain the corresponding prediction errors (PEs). Then, by exploiting the PEs of the neighboring pixels, the prediction of the PEs of the pixels can be determined. And, a sorting technique based on the local complexity of a pixel is used to collect the PPEs to generate an ordered PPE sequence so that, smaller PPEs will be processed first for data embedding. By reversibly shifting the PPE histogram (PPEH) with optimized parameters, the pixels corresponding to the altered PPEH bins can be finally modified to carry the secret data. Experimental results have implied that the proposed method can benefit from the prediction procedure of the PEs, sorting technique as well as parameters selection, and therefore outperform some state-of-the-art works in terms of payload-distortion performance when applied to different images.

show abstract

Section: Payload-distortion Performancementioning

confidence: 99%

Section: Payload-distortion Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

PPE-Based Reversible Data Hiding

Wang

Shi

2016

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security

View full text Add to dashboard Cite

show abstract

“…This problem has been overcome in [12] in which a generalized integer transform has been used to increase the hiding capacity. Several variants of DE based methods are discussed in [3,15,16,19,23,24,32,[36][37][38]. Thodi & Rodriguez [30] discuss a method based on the concept of prediction error expansion.…”

mentioning

confidence: 99%

“…It improves in terms of hiding capacity, but suffers from low quality of stego-image. Hsu et al [16] discuss a sidematch based approach reversible data hiding that provides good quality stego-images but it also suffers from low embedding capacity. Our aim in this paper is to propose a reversible data hiding scheme which can give high quality stego-image with high hiding capacity.…”

mentioning

confidence: 99%

A reversible high capacity data hiding scheme using pixel value adjusting feature

Kumar

Chand

2014

Multimed Tools Appl

View full text Add to dashboard Cite

In this paper, we propose a new reversible data hiding scheme that uses pixel value adjusting feature. It has two phases. In first phase, It scans the image diagonally from left to right and hides the some of the secret data into the odd valued pixels. In second phase, it also scans the image diagonally but in right to left order and hides the secret data into the even valued pixels. In the second phase, some of the pixels used for hiding in the first phase are again used to hide the secret data but this time their values are positively changed. In other words, if a pixel value is decremented in the first phase; this time, it is incremented so that more secret data can be embedded and the quality of the stego-image is also maintained. Though, our scheme has some overhead in hiding the secret data, yet it is able to provide good quality with high capacity. The scheme is very simple because at the time of hiding it doesn't perform much computation; rather it simply increases or decreases the pixel value. Thus, it has very low computational complexity. The experimental results show that our proposed scheme is superior to many existing schemes.

show abstract

Reversible Embedding to Covers Full of Boundaries

Wu¹,

Wang²,

Chen³

et al. 2018

Cloud Computing and Security

View full text Add to dashboard Cite

In reversible data embedding, to avoid overflow and underflow problem, before data embedding, boundary pixels are recorded as side information, which may be losslessly compressed. The existing algorithms often assume that a natural image has little boundary pixels so that the size of side information is small. Accordingly, a relatively high pure payload could be achieved. However, there actually may exist a lot of boundary pixels in a natural image, implying that, the size of side information could be very large. Therefore, when to directly use the existing algorithms, the pure embedding capacity may be not sufficient. In order to address this problem, in this paper, we present a new and efficient framework to reversible data embedding in images that have lots of boundary pixels. The core idea is to losslessly preprocess boundary pixels so that it can significantly reduce the side information. Experimental results have shown the superiority and applicability of our work.

show abstract

Reversible data hiding using side-match predictions on steganographic images

Cited by 17 publications

References 24 publications

PPE-Based Reversible Data Hiding

PPE-Based Reversible Data Hiding

A reversible high capacity data hiding scheme using pixel value adjusting feature

Reversible Embedding to Covers Full of Boundaries

Contact Info

Product

Resources

About