The Experts below are selected from a list of 7776 Experts worldwide ranked by ideXlab platform
Xuesong Wang - One of the best experts on this subject based on the ideXlab platform.
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correlation and bit aware additive spread spectrum data hiding for laplacian distributed Host Image signals
Signal Processing-image Communication, 2014Co-Authors: Xiaoqiang Zhang, Jane Z Wang, Xuesong WangAbstract:Watermarking and data hiding are important tools for copyright protection of digital media contents. To reduce the interference effect of the Host signal and improve the decoding performance in the popular additive Spread Spectrum (ASS) embedding scheme, we have proposed a novel correlation-and-bit-aware additive Spread Spectrum (CASS) embedding scheme for the Gaussian distributed Host signal. However, in practice, the discrete cosine transform (DCT) coefficients of real Images follow the Laplacian distribution. For practical application of CASS to real Images in the DCT domain, this paper proposes a CASS data hiding scheme for the Laplacian distributed Host Image signal. To extract the hidden message bits, we derive an optimal decoder of the ASS scheme for the Laplacian distributed Host signal. The bit-error ratio (BER) of ASS and proposed CASS schemes are analyzed in theory. Finally, Monte Carlo simulations and tests on real Images are carried out to illustrate the decoding performance of the ASS and proposed CASS schemes. Compared with the traditional ASS scheme, the proposed CASS scheme maintains the simplicity of the decoder, significantly reduces the Host effect in data hiding and improves the decoding performance remarkably. As an extension, we discuss the CASS scheme for the generalized Gaussian distribution (GGD) distributed Host signal in brief. HighlightsFor the Laplace distributed Host signal, obtain the optimal decoder of the ASS scheme.Analyze the decoding error probability of the ASS scheme.Propose the new CASS scheme for the Laplace distributed Host signal, and analyze its decoding error probability.Perform simulations to demonstrate the superiority of the proposed CASS scheme over the ASS scheme.As an extension, discuss the CASS scheme for the generalized Gaussian distribution (GGD) distributed Host signal.
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Correlation-and-bit-aware additive spread spectrum data hiding for Laplacian distributed Host Image signals
Signal Processing: Image Communication, 2014Co-Authors: Xiaoqiang Zhang, Z. Jane Wang, Xuesong WangAbstract:Watermarking and data hiding are important tools for copyright protection of digital media contents. To reduce the interference effect of the Host signal and improve the decoding performance in the popular additive Spread Spectrum (ASS) embedding scheme, we have proposed a novel correlation-and-bit-aware additive Spread Spectrum (CASS) embedding scheme for the Gaussian distributed Host signal. However, in practice, the discrete cosine transform (DCT) coefficients of real Images follow the Laplacian distribution. For practical application of CASS to real Images in the DCT domain, this paper proposes a CASS data hiding scheme for the Laplacian distributed Host Image signal. To extract the hidden message bits, we derive an optimal decoder of the ASS scheme for the Laplacian distributed Host signal. The bit-error ratio (BER) of ASS and proposed CASS schemes are analyzed in theory. Finally, Monte Carlo simulations and tests on real Images are carried out to illustrate the decoding performance of the ASS and proposed CASS schemes. Compared with the traditional ASS scheme, the proposed CASS scheme maintains the simplicity of the decoder, significantly reduces the Host effect in data hiding and improves the decoding performance remarkably. As an extension, we discuss the CASS scheme for the generalized Gaussian distribution (GGD) distributed Host signal in brief.
Chin-chen Chang - One of the best experts on this subject based on the ideXlab platform.
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BOTH COLOR AND GRAY SCALE SECRET ImageS HIDING IN A COLOR Image
International Journal of Pattern Recognition and Artificial Intelligence, 2020Co-Authors: Yu-chen Hu, Chin-chen ChangAbstract:In the past, most Image hiding techniques have been applied only to gray scale Images. Now, many valuable Images are color Images. Thus, it has become important to be able to apply Image-hiding techniques to hide color Images. In this paper, our proposed scheme can not only be applied to "a color Host Image hiding a color secret Image", but also to "a color Host Image hiding a gray scale secret Image". Our scheme utilizes the rightmost 3, 2 and 3 bits of the R, G, B channels of every pixel in the Host Image to hide related information from the secret Image. Meanwhile, we utilize the leftmost 5, 6, 5 bits of the R, G, B channels of every pixel in the Host Image and set the remaining bits as zero to generate a palette. We then use the palette to conduct color quantization on the secret Image to convert its 24-bit pixels into pixels with 8-bit palette index values. DES encryption is then conducted on the index values before the secret Image is embedded into the rightmost 3, 2, 3 bits of the R, G, B channels of every pixel in the Host Image. The experimental results show that even under the worst case scenario our scheme guarantees an average Host Image PSNR value of 39.184 and an average PSNR value of 27.3415 for the retrieved secret Image. In addition to the guarantee of the quality of Host Images and retrieved secret Images, our scheme further strengthens the protection of the secret Image by conducting color quantization and DES encryption on the secret Image in advance. Therefore, our scheme not only expands the application area of Image hiding, but is also practical and secure.
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Distortion-free secret Image sharing mechanism using modulus operator
Pattern Recognition, 2009Co-Authors: Pei Yu Lin, Jung San Lee, Chin-chen ChangAbstract:The (t, n)-threshold has been extended to secret Image sharing due to its practicability. In this article, we provide a novel version that employs the modulus operator to embed the secret share into a Host Image. The simulator shows that the modulus operator is useful for decreasing shadow Image distortion. Using Rabin's signature cryptosystem, participants can detect if a cheater exists in the cooperation. In particular, the new mechanism permits involved members to restore a lossless secret Image and to reconstruct a distortion-free Host Image. ?? 2008 Elsevier Ltd. All rights reserved.
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Lossless nibbled data embedding scheme based on difference expansion
Image and Vision Computing, 2008Co-Authors: Tzu-chuen Lu, Chin-chen ChangAbstract:This paper proposes a lossless data embedding scheme of great payload capacity and good Image quality, which is based on difference expansion. In this scheme, every pixel in a Host Image is divided into two nibbles and each nibble pair between two adjacent pixels can be used to hide a secret message. In order to completely recover the Host Image, the arithmetic coding is adopted based on prediction by partial matching (PPM) model to compress the restored information. This proposed scheme has been successfully applied to different Images. According to the experimental results, embedded information can be extracted correctly and quickly from the embedded Image. In addition, the proposed scheme can not only hide a large amount of information in a Host Image without making noticeable distortion, but can also completely restore the Host Image from the embedded Image.
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A High Capacity Reversible Data Hiding Scheme for Annotation
2008 Second International Symposium on Intelligent Information Technology Application, 2008Co-Authors: Yuan-hui Yu, Chin-chen ChangAbstract:A high capacity reversible data-hiding scheme for annotation is presented in this paper. The proposed scheme is based on a prediction-based lossless Image compression technique. Annotation data are embedded into the predictive error values of a Host Image during the process of lossless compression of the Host Image. Annotation data can be exactly extracted and the original Host Image can be recovered without any loss.
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Color Image hiding scheme using Image differencing
Optical Engineering, 2005Co-Authors: C.s. Chan, Chin-chen Chang, Yu-chen HuAbstract:A new Image hiding scheme is proposed that can embed color secret Images into color Host Images. The secret Image to be embedded is first color quantized using a palette previously sorted by the principal component analysis technique to generate the indexed color Image. Then the concept of pixel difference is employed to process both the Host Image and the indexed color Image. Then the difference Image of the indexed color Image is embedded into the difference Image of the color Host Image. According to our experimental results, the Image quality of the stegoImage is quite good when our new method is used to embed a color secret Image into the color Host Image.
Xiaoqiang Zhang - One of the best experts on this subject based on the ideXlab platform.
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correlation and bit aware additive spread spectrum data hiding for laplacian distributed Host Image signals
Signal Processing-image Communication, 2014Co-Authors: Xiaoqiang Zhang, Jane Z Wang, Xuesong WangAbstract:Watermarking and data hiding are important tools for copyright protection of digital media contents. To reduce the interference effect of the Host signal and improve the decoding performance in the popular additive Spread Spectrum (ASS) embedding scheme, we have proposed a novel correlation-and-bit-aware additive Spread Spectrum (CASS) embedding scheme for the Gaussian distributed Host signal. However, in practice, the discrete cosine transform (DCT) coefficients of real Images follow the Laplacian distribution. For practical application of CASS to real Images in the DCT domain, this paper proposes a CASS data hiding scheme for the Laplacian distributed Host Image signal. To extract the hidden message bits, we derive an optimal decoder of the ASS scheme for the Laplacian distributed Host signal. The bit-error ratio (BER) of ASS and proposed CASS schemes are analyzed in theory. Finally, Monte Carlo simulations and tests on real Images are carried out to illustrate the decoding performance of the ASS and proposed CASS schemes. Compared with the traditional ASS scheme, the proposed CASS scheme maintains the simplicity of the decoder, significantly reduces the Host effect in data hiding and improves the decoding performance remarkably. As an extension, we discuss the CASS scheme for the generalized Gaussian distribution (GGD) distributed Host signal in brief. HighlightsFor the Laplace distributed Host signal, obtain the optimal decoder of the ASS scheme.Analyze the decoding error probability of the ASS scheme.Propose the new CASS scheme for the Laplace distributed Host signal, and analyze its decoding error probability.Perform simulations to demonstrate the superiority of the proposed CASS scheme over the ASS scheme.As an extension, discuss the CASS scheme for the generalized Gaussian distribution (GGD) distributed Host signal.
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Correlation-and-bit-aware additive spread spectrum data hiding for Laplacian distributed Host Image signals
Signal Processing: Image Communication, 2014Co-Authors: Xiaoqiang Zhang, Z. Jane Wang, Xuesong WangAbstract:Watermarking and data hiding are important tools for copyright protection of digital media contents. To reduce the interference effect of the Host signal and improve the decoding performance in the popular additive Spread Spectrum (ASS) embedding scheme, we have proposed a novel correlation-and-bit-aware additive Spread Spectrum (CASS) embedding scheme for the Gaussian distributed Host signal. However, in practice, the discrete cosine transform (DCT) coefficients of real Images follow the Laplacian distribution. For practical application of CASS to real Images in the DCT domain, this paper proposes a CASS data hiding scheme for the Laplacian distributed Host Image signal. To extract the hidden message bits, we derive an optimal decoder of the ASS scheme for the Laplacian distributed Host signal. The bit-error ratio (BER) of ASS and proposed CASS schemes are analyzed in theory. Finally, Monte Carlo simulations and tests on real Images are carried out to illustrate the decoding performance of the ASS and proposed CASS schemes. Compared with the traditional ASS scheme, the proposed CASS scheme maintains the simplicity of the decoder, significantly reduces the Host effect in data hiding and improves the decoding performance remarkably. As an extension, we discuss the CASS scheme for the generalized Gaussian distribution (GGD) distributed Host signal in brief.
C.s. Chan - One of the best experts on this subject based on the ideXlab platform.
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A Verifiable and Recoverable Secret Image Sharing Mechanism
2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications, 2011Co-Authors: C.s. ChanAbstract:Verifiability is essential for a secret sharing approach which allows the involved participants to detect cheaters during the secret retrieval process. In this article, we propose a verifiable secret Image sharing scheme that can not only resist dishonest participants but can also satisfy the requirements of loss less and camouflage. The new approach conceals the shadows into a pixel pair of the Host Image by adding or subtracting a pixel value by 1. Consequently, the embedding alteration can be reduced to preserve the fidelity of the shadow Image. Recoverability is a practical essential for protecting the valuable Host Image from being distorted. After the authorized participants retrieve a loss less secret Image, they can remove the shadows from the shadow Images to recover the unmarked Host Image. The experimental results exhibit that the proposed scheme can share a large secret capacity according to the threshold t and retain superior quality of around 52 dB.
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Color Image hiding scheme using Image differencing
Optical Engineering, 2005Co-Authors: C.s. Chan, Chih-hung Chang, Y. C. HuAbstract:A new Image hiding scheme is proposed that can embed color secret Images into color Host Images. The secret Image to be embedded is first color quantized using a palette previously sorted by the principal component analysis technique to generate the indexed color Image. Then the concept of pixel difference is employed to process both the Host Image and the indexed color Image. Then the difference Image of the indexed color Image is embedded into the difference Image of the color Host Image. According to our experimental results, the Image quality of the stegoImage is quite good when our new method is used to embed a color secret Image into the color Host Image. © 2005 Society of Photo-Optical Instrumentation Engineers.
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Color Image hiding scheme using Image differencing
Optical Engineering, 2005Co-Authors: C.s. Chan, Chin-chen Chang, Yu-chen HuAbstract:A new Image hiding scheme is proposed that can embed color secret Images into color Host Images. The secret Image to be embedded is first color quantized using a palette previously sorted by the principal component analysis technique to generate the indexed color Image. Then the concept of pixel difference is employed to process both the Host Image and the indexed color Image. Then the difference Image of the indexed color Image is embedded into the difference Image of the color Host Image. According to our experimental results, the Image quality of the stegoImage is quite good when our new method is used to embed a color secret Image into the color Host Image.
Z. Jane Wang - One of the best experts on this subject based on the ideXlab platform.
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Correlation-and-bit-aware additive spread spectrum data hiding for Laplacian distributed Host Image signals
Signal Processing: Image Communication, 2014Co-Authors: Xiaoqiang Zhang, Z. Jane Wang, Xuesong WangAbstract:Watermarking and data hiding are important tools for copyright protection of digital media contents. To reduce the interference effect of the Host signal and improve the decoding performance in the popular additive Spread Spectrum (ASS) embedding scheme, we have proposed a novel correlation-and-bit-aware additive Spread Spectrum (CASS) embedding scheme for the Gaussian distributed Host signal. However, in practice, the discrete cosine transform (DCT) coefficients of real Images follow the Laplacian distribution. For practical application of CASS to real Images in the DCT domain, this paper proposes a CASS data hiding scheme for the Laplacian distributed Host Image signal. To extract the hidden message bits, we derive an optimal decoder of the ASS scheme for the Laplacian distributed Host signal. The bit-error ratio (BER) of ASS and proposed CASS schemes are analyzed in theory. Finally, Monte Carlo simulations and tests on real Images are carried out to illustrate the decoding performance of the ASS and proposed CASS schemes. Compared with the traditional ASS scheme, the proposed CASS scheme maintains the simplicity of the decoder, significantly reduces the Host effect in data hiding and improves the decoding performance remarkably. As an extension, we discuss the CASS scheme for the generalized Gaussian distribution (GGD) distributed Host signal in brief.
