The Experts below are selected from a list of 75 Experts worldwide ranked by ideXlab platform
Jarmo Takala - One of the best experts on this subject based on the ideXlab platform.
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ICASSP - Lossless audio Hiding method for synchronous audio-video coding
2011 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2011Co-Authors: Weiwei Chen, Moncef Gabbouj, Jarmo TakalaAbstract:The absence of audio-video synchronization has been one of the most annoying effects in multimedia application. This paper proposes a Lossless Information Hiding method for synchronous audio-video coding. The binary bits of an encoded audio signal are embedded into the DCT domain of the video data to produce synchronous hybrid signal which is further encoded. The decoder can extract the audio bits from the hybrid bit stream, and thus, is able to reconstruct the separate signals. This scheme enables synchronous coding, transmision, storage and playback of a video signal and the associated audio singal. Experimental results show that the proposed method outperforms competing techniques in terms of both the reconstructed video and audio quality
Weiwei Chen - One of the best experts on this subject based on the ideXlab platform.
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ICASSP - Lossless audio Hiding method for synchronous audio-video coding
2011 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2011Co-Authors: Weiwei Chen, Moncef Gabbouj, Jarmo TakalaAbstract:The absence of audio-video synchronization has been one of the most annoying effects in multimedia application. This paper proposes a Lossless Information Hiding method for synchronous audio-video coding. The binary bits of an encoded audio signal are embedded into the DCT domain of the video data to produce synchronous hybrid signal which is further encoded. The decoder can extract the audio bits from the hybrid bit stream, and thus, is able to reconstruct the separate signals. This scheme enables synchronous coding, transmision, storage and playback of a video signal and the associated audio singal. Experimental results show that the proposed method outperforms competing techniques in terms of both the reconstructed video and audio quality
Chin-chen Chang - One of the best experts on this subject based on the ideXlab platform.
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Lossless Information Hiding in the VQ Index Table
Journal of Software, 2013Co-Authors: Chin-chen Chang, Kuo-nan Chen, Zhi-hui WangAbstract:In this paper, a reversible data Hiding scheme based on a Vector Quantization (VQ) index table is proposed. To satisfy different needs of users, our proposed scheme is designed with flexibility in adjusting Hiding capacity and compression rate. First, the codebook is rearranged referring to the index occurrence frequency in the VQ index table. After that, the codewords in the newly generated codebook are clustered into a number of groups for the usage of embedding secret digits in our proposed scheme. Note that, the decision of group numbers determines the capability of Hiding capacity and compression rate of a to-be-embed image in our proposed scheme. Based on the well-defined embedding strategies, the experimental results show that the performance of our proposed scheme outperforms the scheme proposed by Yang and Lin in 2009
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A Simple Image Encoding Method with Data Lossless Information Hiding
Journal of Networks, 2011Co-Authors: Zhi-hui Wang, Chin-chen ChangAbstract:In this paper, we propose a simple reversible data Hiding method in the spatial domain for block truncation coding (BTC) compressed grayscale images. The BTC method compresses a block of a grayscale image to a bitmap and a pair of quantization numbers. The proposed method first embeds secret bits into a block by changing the order of those two quantization numbers. The compression rate is not enlarged by this embedding scheme. To further improve the Hiding capacity, the proposed method embeds the secret bits into the bitmap of the block by exploiting the correlation characteristic of neighboring blocks’ bitmap in natural images. The experimental results show that the proposed method achieves very good Hiding capacity at low compression rate.
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an encoding method for both image compression and data Lossless Information Hiding
Journal of Systems and Software, 2010Co-Authors: Zhi-hui Wang, Chin-chen Chang, Kuo-nan ChenAbstract:Reversible image data Hiding technology means the cover image can be totally recovered after the embedded secret data is extracted. In this paper, we propose a reversible image data Hiding scheme based on vector quantization (VQ) compressed images. The secret bits are embedded into the VQ index table by modifying the index value according to the difference of neighboring indices. The data Hiding capacity and the size of the final codestream (embedded result) are a trade-off, and it can be decided by users. In other words, the proposed scheme has flexible Hiding capacity ability. To estimate the performance, the proposed scheme was compared with the scheme proposed by Wang and Lu (2009). The results of the comparison showed that our proposed scheme is superior to the scheme proposed by Wang and Lu in both data Hiding capacity and bit rate.
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Lossless Information Hiding Scheme Based on Neighboring Correlation
2008 Second International Conference on Future Generation Communication and Networking Symposia, 2008Co-Authors: Chin-chen ChangAbstract:A Lossless Information Hiding scheme based on neighboring correlation is proposed in this paper. The scheme hides secret Information into gray-level images according to the correlation between neighboring pixels. The performance of the proposed scheme has been evaluated in terms of payload capacity, image distortion, as well as embedding rate, and the experimental results show that the proposed Lossless Information scheme is capable of providing a great payload capacity without causing noticeable distortion, and the embedding rate is quite high. In addition, the proposed scheme can completely restore the host image after secret data extraction.
Kuo-nan Chen - One of the best experts on this subject based on the ideXlab platform.
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Lossless Information Hiding in the VQ Index Table
Journal of Software, 2013Co-Authors: Chin-chen Chang, Kuo-nan Chen, Zhi-hui WangAbstract:In this paper, a reversible data Hiding scheme based on a Vector Quantization (VQ) index table is proposed. To satisfy different needs of users, our proposed scheme is designed with flexibility in adjusting Hiding capacity and compression rate. First, the codebook is rearranged referring to the index occurrence frequency in the VQ index table. After that, the codewords in the newly generated codebook are clustered into a number of groups for the usage of embedding secret digits in our proposed scheme. Note that, the decision of group numbers determines the capability of Hiding capacity and compression rate of a to-be-embed image in our proposed scheme. Based on the well-defined embedding strategies, the experimental results show that the performance of our proposed scheme outperforms the scheme proposed by Yang and Lin in 2009
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an encoding method for both image compression and data Lossless Information Hiding
Journal of Systems and Software, 2010Co-Authors: Zhi-hui Wang, Chin-chen Chang, Kuo-nan ChenAbstract:Reversible image data Hiding technology means the cover image can be totally recovered after the embedded secret data is extracted. In this paper, we propose a reversible image data Hiding scheme based on vector quantization (VQ) compressed images. The secret bits are embedded into the VQ index table by modifying the index value according to the difference of neighboring indices. The data Hiding capacity and the size of the final codestream (embedded result) are a trade-off, and it can be decided by users. In other words, the proposed scheme has flexible Hiding capacity ability. To estimate the performance, the proposed scheme was compared with the scheme proposed by Wang and Lu (2009). The results of the comparison showed that our proposed scheme is superior to the scheme proposed by Wang and Lu in both data Hiding capacity and bit rate.
Zhi-hui Wang - One of the best experts on this subject based on the ideXlab platform.
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Lossless Information Hiding in the VQ Index Table
Journal of Software, 2013Co-Authors: Chin-chen Chang, Kuo-nan Chen, Zhi-hui WangAbstract:In this paper, a reversible data Hiding scheme based on a Vector Quantization (VQ) index table is proposed. To satisfy different needs of users, our proposed scheme is designed with flexibility in adjusting Hiding capacity and compression rate. First, the codebook is rearranged referring to the index occurrence frequency in the VQ index table. After that, the codewords in the newly generated codebook are clustered into a number of groups for the usage of embedding secret digits in our proposed scheme. Note that, the decision of group numbers determines the capability of Hiding capacity and compression rate of a to-be-embed image in our proposed scheme. Based on the well-defined embedding strategies, the experimental results show that the performance of our proposed scheme outperforms the scheme proposed by Yang and Lin in 2009
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A Simple Image Encoding Method with Data Lossless Information Hiding
Journal of Networks, 2011Co-Authors: Zhi-hui Wang, Chin-chen ChangAbstract:In this paper, we propose a simple reversible data Hiding method in the spatial domain for block truncation coding (BTC) compressed grayscale images. The BTC method compresses a block of a grayscale image to a bitmap and a pair of quantization numbers. The proposed method first embeds secret bits into a block by changing the order of those two quantization numbers. The compression rate is not enlarged by this embedding scheme. To further improve the Hiding capacity, the proposed method embeds the secret bits into the bitmap of the block by exploiting the correlation characteristic of neighboring blocks’ bitmap in natural images. The experimental results show that the proposed method achieves very good Hiding capacity at low compression rate.
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an encoding method for both image compression and data Lossless Information Hiding
Journal of Systems and Software, 2010Co-Authors: Zhi-hui Wang, Chin-chen Chang, Kuo-nan ChenAbstract:Reversible image data Hiding technology means the cover image can be totally recovered after the embedded secret data is extracted. In this paper, we propose a reversible image data Hiding scheme based on vector quantization (VQ) compressed images. The secret bits are embedded into the VQ index table by modifying the index value according to the difference of neighboring indices. The data Hiding capacity and the size of the final codestream (embedded result) are a trade-off, and it can be decided by users. In other words, the proposed scheme has flexible Hiding capacity ability. To estimate the performance, the proposed scheme was compared with the scheme proposed by Wang and Lu (2009). The results of the comparison showed that our proposed scheme is superior to the scheme proposed by Wang and Lu in both data Hiding capacity and bit rate.
