Reversible data hiding for high quality images using modification of prediction errors

Hong, Wien; Chen, Tung-Shou; Shiu, Chih-Wei

doi:10.1016/j.jss.2009.05.051

Cited by 306 publications

(182 citation statements)

References 13 publications

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“…Reversible data hiding algorithms are generally classified into three categories by using lossless compression [4,5], difference expansion [6,7], and histogram shifting [8,9]. RDH technique is further developed by making good use of new prediction error algorithms and embedding strategies [10][11][12], which have higher payload and better image quality.…”

Section: Introductionmentioning

confidence: 99%

Efficient reversible data hiding in encrypted image with public key cryptosystem

Xiang

Xiuzhi

2017

EURASIP J. Adv. Signal Process.

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This paper proposes a new reversible data hiding scheme for encrypted images by using homomorphic and probabilistic properties of Paillier cryptosystem. The proposed method can embed additional data directly into encrypted image without any preprocessing operations on original image. By selecting two pixels as a group for encryption, data hider can retrieve the absolute differences of groups of two pixels by employing a modular multiplicative inverse method. Additional data can be embedded into encrypted image by shifting histogram of the absolute differences by using the homomorphic property in encrypted domain. On the receiver side, legal user can extract the marked histogram in encrypted domain in the same way as data hiding procedure. Then, the hidden data can be extracted from the marked histogram and the encrypted version of original image can be restored by using inverse histogram shifting operations. Besides, the marked absolute differences can be computed after decryption for extraction of additional data and restoration of original image. Compared with previous state-of-the-art works, the proposed scheme can effectively avoid preprocessing operations before encryption and can efficiently embed and extract data in encrypted domain. The experiments on the standard image files also certify the effectiveness of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

Efficient reversible data hiding in encrypted image with public key cryptosystem

Xiang

Xiuzhi

2017

EURASIP J. Adv. Signal Process.

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“…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%

PPE-Based Reversible Data Hiding

Wang

Shi

2016

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

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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.

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“…Various techniques, including LSB methods [11], PVD methods, and side-match [12], [13], have been proposed to hide information in complex area of cover; a detail can be found in [14], [15]. But, these techniques present a low hiding capacity and don't comply completely with the rules that the complex region can bear more changes than smooth region [12], [13]. To increase data hiding capacity Jung et al [16] presented a new technique that hides data in smooth areas along with edges, but results in more distortion.…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization (ACO) based Data Hiding in Image Complex Region

Khan

2018

IJECE

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This paper presents data an Ant colony optimization (ACO) based data hiding technique. ACO is used to detect complex region of cover image and afterward, least significant bits (LSB) substitution is used to hide secret information in the detected complex regions' pixels. ACO is an algorithm developed inspired by the inborn manners of ant species. The ant leaves pheromone on the ground for searching food and provisions. The proposed ACO-based data hiding in complex region establishes an array of pheromone, also called pheromone matrix, which represents the complex region in sequence at each pixel position of the cover image. The pheromone matrix is developed according to the movements of ants, determined by local differences of the image element's intensity. The least significant bits of complex region pixels are substituted with message bits, to hide secret information. The experimental results, provided, show the significance of the performance of the proposed method. Keyword:Ant [7]. Sahib et al., inspired from chipper block chaining (CBC) encryption, proposed new techniques of stego block chaining (SBC) and enhanced stego block chaining (ESBC) to hide information in digital images [8].The aim of all data hiding techniques is to make the presence of hidden information undetectable and this attracted the attention of researcher to make use of HVS limitation. HVS can very easily detect the variations made in smooth area of cover image as compared to the changes in complex region. Due to this characteristic of the HVS, complex region of cover image is subjected to hiding and smooth region is not modified [9], [10]. In some techniques, complex region is subjected to more to data hiding than smooth region. This approach results in high quality of the stego-image, which means increase in the security of hidden information. Various techniques, including LSB methods [11], PVD methods, and side-match

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Reversible data hiding for high quality images using modification of prediction errors

Cited by 306 publications

References 13 publications

Efficient reversible data hiding in encrypted image with public key cryptosystem

Efficient reversible data hiding in encrypted image with public key cryptosystem

PPE-Based Reversible Data Hiding

Ant Colony Optimization (ACO) based Data Hiding in Image Complex Region

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