The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Jaewon Suh - One of the best experts on this subject based on the ideXlab platform.
-
high capacity reversible data hiding using the Histogram Modification of block image
International Symposium on Circuits and Systems, 2010Co-Authors: Hyangmi Yoo, Sangkwang Lee, Jaewon SuhAbstract:Reversible data hiding which can recover the original image without any distortion after extraction of the hidden data has drawn considerable attention in recent years. However, the problems of underflow and overflow have occurred occasionally in watermarked image. To overcome these problems, we propose a new reversible data hiding algorithm based on Histogram Modification of block image. In addition, the proposed algorithm allows for multilevel data hiding to increase the hiding capacity. Simulation results demonstrate that the proposed algorithm generates good performances in the subjective visual quality, PSNR between original image and watermarked image, and the hiding capacity.
-
improved reversible data hiding based on Histogram Modification of difference images
International Conference on Consumer Electronics, 2010Co-Authors: Sangkwang Lee, Hyangmi Yoo, Youngho Suh, Jaewon SuhAbstract:In this paper, we propose a new reversible data hiding algorithm using the Histogram Modification of difference images. The Histogram Modification method has been used for reversible data hiding remarkably. However, this method has the underflow/overflow problems. To overcome these problems, we embed the compressed location map to identify the points of underflow and overflow. Therefore, the proposed algorithm can recover the original image quite simply without the overhead information. In addition, because we use the multilevel data hiding scheme, we can get a large amount of embedding data while keeping low distortion. Experimental results are presented to demonstrate the validity of the proposed algorithm.
-
reversible data hiding using the Histogram Modification of block image
International Conference on Neural Information Processing, 2009Co-Authors: Hyangmi Yoo, Sangkwang Lee, Youngho Suh, Jaewon SuhAbstract:Reversible data hiding has drawn considerable attention in recent years. Reversible data hiding recover the original image without any distortion after the hidden data have been extracted. However, one of drawbacks for existing reversible data hiding is underflow and overflow. To overcome these problems, we propose a new reversible data hiding algorithm based on Histogram Modification of block image. The experimental results and performance comparisons with other reversible data hiding schemes are presented to demonstrate the validity of our proposed algorithm.
-
fragile watermarking based on localized Histogram Modification
Consumer Communications and Networking Conference, 2009Co-Authors: Hyangmi Yoo, Sangkwang Lee, Jaewon SuhAbstract:In this paper, we propose a fragile watermarking algorithm for image authentication and integrity. Existing fragile watermarking algorithms had to accept the image distortion in order to insert the watermark. To overcome this drawback, we propose a new fragile watermarking algorithm which can recover the original image after extracting the watermark. Experimental results are presented to demonstrate the validity of the proposed algorithm.
Yao Zhao - One of the best experts on this subject based on the ideXlab platform.
-
reversible data hiding based on pairwise embedding and optimal expansion path
Signal Processing, 2019Co-Authors: Mengyao Xiao, Yangyang Wang, Yao ZhaoAbstract:Abstract As an efficient technique for high-dimensional reversible data hiding (RDH), pairwise prediction-error expansion (pairwise PEE) has achieved better performance comparing with the conventional PEE. With pairwise PEE, the correlations among prediction-errors are well utilized by modifying the generated two-dimensional prediction-error Histogram (2D-PEH). However, its performance can be further improved since the Histogram Modification manner (i.e., the employed Modification mapping) of pairwise PEE is fixed and independent of image content. To better utilize image redundancy, instead of embedding data based on an empirically designed Modification mapping, a content dependent pairwise embedding scheme is proposed in this paper. Based on a specific division of 2D-PEH, the expansion bins selection is formulated as an optimal path determination problem, and the Histogram Modification mapping is adaptively determined by taking the optimal expansion bins. To reduce the computation cost, a dynamic programming algorithm is proposed to solve the optimization problem with low computational complexity. Moreover, by combining the proposed optimal expansion path with the existing one-dimensional adaptive embedding mechanism, the embedding performance can be further enhanced. The proposed method performs well and its superiority is experimentally verified comparing with pairwise PEE and some other state-of-the-art methods.
-
reversible watermarking using optional prediction error Histogram Modification
Neurocomputing, 2012Co-Authors: Yao ZhaoAbstract:To reduce the distortion of high payload watermarking scheme, a reversible watermarking based on optional prediction-error Histogram Modification is proposed to improve the watermarked image fidelity at high embedding rate. By considering the pixel compensation during the multiple layer embedding, an optional predictor is designed to generate the most appropriate prediction error Histogram, which results in less distortions at the same embedding rate. Unlike other Histogram based schemes, the generated prediction error Histogram can be tuned through the selection of threshold for each layer to strike the balance between capacity and pixel compensation. Compared with the other schemes, the proposed scheme introduces less distortion and obtains high image quality for the high embedding rate. The experiments on the standard and military images verify the effectiveness of the proposed scheme.
Jiwu Huang - One of the best experts on this subject based on the ideXlab platform.
-
reversible image watermarking on prediction errors by efficient Histogram Modification
Signal Processing, 2012Co-Authors: Haotian Wu, Jiwu HuangAbstract:A reversible data hiding algorithm is proposed, in which the efficiency of modifying a pair of Histogram bins is considered. Multiple pairs of Histogram bins can be further selected for data embedding in sequence, while pre-process of pixel values is performed to prevent the possible overflow and underflow. Embedding with the prediction errors is investigated with a new prediction scheme. In each of the four prediction modes, a large amount of prediction errors can be produced from the host image. Moreover, all combinations of the four modes to generate a number of Histogram pairs are enumerated to obtain the best performance. Blind extraction and recovery are enabled by embedding a pre-computed location map and other overhead information into the watermarked image. Promising experimental results are obtained on a variety of test images. Compared with the existing algorithms, the image content is better preserved in high payload data hiding.
-
reversible image watermarking by rhombus prediction and Histogram Modification
International Conference on Audio Language and Image Processing, 2012Co-Authors: Jiwu Huang, Ye Zhang, Jane YouAbstract:A Histogram based reversible data hiding algorithm is proposed for digital images with the rhombus prediction scheme. With the prediction errors generated in each of the two phases, data embedding is performed by modifying their Histogram while the overflow and underflow of pixel values are prevented in pre-process. Blind data extraction and exact recovery of the original image are both enabled by saving the overhead information into the watermarked image. Furthermore, high-capacity embedding can be performed by using multiple pairs of Histogram bins to host the embedded data. The numerical results show that good performance can be achieved with the proposed algorithm, especially when the embedding rate is high.
-
reversible data hiding for image based on Histogram Modification of wavelet coefficients
Computational Intelligence and Security, 2005Co-Authors: Xiaoping Liang, Jiwu HuangAbstract:Reversible data hiding has drawn intensive attention recently. Reversibility means to embed data into digital media and restore the original media from marked media losslessly. Reversible data hiding technique is desired in sensitive applications that require no permanent loss of signal fidelity. In this paper, we exploit statistical property of wavelet detail coefficients and propose a novel reversible data hiding for digital image by modifying integer wavelet coefficients slightly to embed data. Our algorithm doesn’t need any lossless compression technique and provides several embedding modes for choice according to capacity and visual quality requirement. Experimental results show that our algorithm achieves high capacity while keeping low distortion between marked image and the original one.
Hyangmi Yoo - One of the best experts on this subject based on the ideXlab platform.
-
high capacity reversible data hiding using the Histogram Modification of block image
International Symposium on Circuits and Systems, 2010Co-Authors: Hyangmi Yoo, Sangkwang Lee, Jaewon SuhAbstract:Reversible data hiding which can recover the original image without any distortion after extraction of the hidden data has drawn considerable attention in recent years. However, the problems of underflow and overflow have occurred occasionally in watermarked image. To overcome these problems, we propose a new reversible data hiding algorithm based on Histogram Modification of block image. In addition, the proposed algorithm allows for multilevel data hiding to increase the hiding capacity. Simulation results demonstrate that the proposed algorithm generates good performances in the subjective visual quality, PSNR between original image and watermarked image, and the hiding capacity.
-
improved reversible data hiding based on Histogram Modification of difference images
International Conference on Consumer Electronics, 2010Co-Authors: Sangkwang Lee, Hyangmi Yoo, Youngho Suh, Jaewon SuhAbstract:In this paper, we propose a new reversible data hiding algorithm using the Histogram Modification of difference images. The Histogram Modification method has been used for reversible data hiding remarkably. However, this method has the underflow/overflow problems. To overcome these problems, we embed the compressed location map to identify the points of underflow and overflow. Therefore, the proposed algorithm can recover the original image quite simply without the overhead information. In addition, because we use the multilevel data hiding scheme, we can get a large amount of embedding data while keeping low distortion. Experimental results are presented to demonstrate the validity of the proposed algorithm.
-
reversible data hiding using the Histogram Modification of block image
International Conference on Neural Information Processing, 2009Co-Authors: Hyangmi Yoo, Sangkwang Lee, Youngho Suh, Jaewon SuhAbstract:Reversible data hiding has drawn considerable attention in recent years. Reversible data hiding recover the original image without any distortion after the hidden data have been extracted. However, one of drawbacks for existing reversible data hiding is underflow and overflow. To overcome these problems, we propose a new reversible data hiding algorithm based on Histogram Modification of block image. The experimental results and performance comparisons with other reversible data hiding schemes are presented to demonstrate the validity of our proposed algorithm.
-
fragile watermarking based on localized Histogram Modification
Consumer Communications and Networking Conference, 2009Co-Authors: Hyangmi Yoo, Sangkwang Lee, Jaewon SuhAbstract:In this paper, we propose a fragile watermarking algorithm for image authentication and integrity. Existing fragile watermarking algorithms had to accept the image distortion in order to insert the watermark. To overcome this drawback, we propose a new fragile watermarking algorithm which can recover the original image after extracting the watermark. Experimental results are presented to demonstrate the validity of the proposed algorithm.
Chinchen Chang - One of the best experts on this subject based on the ideXlab platform.
-
applying Histogram Modification to embed secret message in ambtc
Intelligent Information Hiding and Multimedia Signal Processing, 2014Co-Authors: Chinchen Chang, Ting Feng ChungAbstract:In 2014, Lo et al. employs the Histogram shifting technique to present a reversible data hiding scheme for the "absolute moment block truncation coding image" (AMBTC). In their scheme, the secret message is embedded into the quantization levels. The bitmaps in their scheme cannot carry any secret message. The embedding capacity of their scheme is lower. Thus, in this paper, a reversible data hiding scheme based on AMBTC is proposed with the purpose of enhancing the embedding capacity. Experimental results demonstrated that the embedding capacity of our scheme is higher than those of the Lo et al.'s scheme.
-
reversible data hiding based on Histogram Modification of pixel differences
IEEE Transactions on Circuits and Systems for Video Technology, 2009Co-Authors: Chinchen ChangAbstract:In this letter, we present a reversible data hiding scheme based on Histogram Modification. We exploit a binary tree structure to solve the problem of communicating pairs of peak points. Distribution of pixel differences is used to achieve large hiding capacity while keeping the distortion low. We also adopt a Histogram shifting technique to prevent overflow and underflow. Performance comparisons with other existing schemes are provided to demonstrate the superiority of the proposed scheme.
-
lossless data hiding based on Histogram Modification for image authentication
Embedded and Ubiquitous Computing, 2008Co-Authors: Chinchen Chang, Weiliang Tai, Kuonan ChenAbstract:Lossless data hiding enables the embedding of messages in a host image without any loss of content. In this paper, we present a lossless data hiding technique based on Histogram Modification for image authentication that is lossless in the sense that if the marked image is deemed authentic, the embedding distortion can be completely removed from the marked image after the embedded message has been extracted. This technique uses characteristics of the pixel difference to embed more data than other Histogram-based lossless data hiding algorithms. We also present a Histogram shifting technique to prevent overflow and underflow problems. Performance comparisons with other existing lossless data hiding schemes are provided to demonstrate the superiority of the proposed scheme.
-
multilevel reversible data hiding based on Histogram Modification of difference images
Pattern Recognition, 2008Co-Authors: Chinchen ChangAbstract:Reversible data hiding has drawn considerable attention in recent years. Reversibility allows original media to be completely recovered from marked media without distortion after embedded message has been extracted. In this paper we propose a multilevel reversible data hiding scheme based on the difference image Histogram Modification that uses the peak point to hide messages. Through a joint imperceptibility and hiding capacity evaluation, we show that our proposed scheme uses a multilevel hiding strategy to achieve large hiding capacity and keep distortion low. Performance comparisons with other existing reversible hiding schemes are provided to demonstrate the validity of our proposed scheme.