A high-performance reversible data-hiding scheme for LZW codes

Wang, Zhi‐Hui; Yang, Hai-Rui; Cheng, Ting-Fang; Chang, Chin‐Chen

doi:10.1016/j.jss.2013.06.024

Cited by 17 publications

(7 citation statements)

References 9 publications

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“…This algorithm is simple to relate and acquire the potential for very high output in the hardware implementations. It was the algorithm of the broadly used UNIX file compression utility compress and is employed in the GIF image format described in [6]. The decoding algorithm works by understanding a value from the encoded input and outputting the corresponding string from the initialized dictionary.…”

Section: Proposed Methodologymentioning

confidence: 99%

Block Construct BCH LZW Algorithm for Medical Image Compression

Payala¹,

Jyoti²

2017

IJERT

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Paper presents image compression of medical images with LZW lossless-compressed. The image lossless compression reduces payload without data loss. This work is the grouping of definite ROI and image compression secret key. The presentation of the LZW compression and BCH method is associated with other conventional compression methods based on compression ratio. BCH is originating better and used for image lossless compression in medical images compression. A comparative view of time efficiency and the compression ratio is shown in both approaches.

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Section: Proposed Methodologymentioning

confidence: 99%

Block Construct BCH LZW Algorithm for Medical Image Compression

Payala¹,

Jyoti²

2017

IJERT

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“…proposed a novel reversible data hiding scheme that can embed high capacity of secret bits and recover image after data extraction [42]. Wang et al (2013) presented a new high capacity reversible data hiding method based on altering the quantization table with be quantized discrete cosine transformation (DCT) coefficients for JPEG compressed images. An integer divides some elements of the quantization table while the same integer multiplies and an adjustment value to make free place for embedding the data adds the corresponding quantized DCT coefficients [43].…”

Section: Smvq (Side-matched Vector Quantization)mentioning

confidence: 99%

“…The hiding scheme makes the capacity maximum for the number of symbols applicable to hide secrets [45]. Wang et al (2013) propose a high-performance, data-hiding Lempel Ziv Welch (HPDH LZW) scheme. Embedding data in LZW compression codes by modifying the value of the compression codes, which the value of the LZW code each of them remains unchanged.…”

Section: Lzwmentioning

confidence: 99%

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Contemporary Approaches on Reversible Data Hiding Methods: A Comparative Study

Kuslu¹,

Yalman²

2016

Int J App Math Elt Comp

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Reversible data hiding is an important concept on secret communication not only the hidden data can be subtracted from a covered media but also the cover media can be entirely reconstruct after the extraction steps. In the last decade, self-pixel based, block based and interpolation based methods have been extensively developed by using spatial-frequency domain and any others. In this paper, we present an overview of these methods and their marginal specifications. In addition to these, the purpose of this study is to explain and to classify the various algorithms, inside groups and their studies in the reversible data hiding concept.

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“…HPDH-LZW scheme [10] (A high-performance reversible data-hiding scheme for LZW codes), is a new reversible data hiding scheme. This scheme hides data through the relationship between the value of the output compression codes and the size of the dictionary.…”

Section: Introductionmentioning

confidence: 99%

An Improved Reversible Data-Hiding Scheme for LZW Codes

Zhao¹,

Yang²,

Gong³

et al. 2016

Proceedings of the 2016 International Conference on Computer Engineering, Information Science &Amp; Application Technology (ICC

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Abstract. HPDH-LZW is a reversible data hiding scheme based on Lempel-Ziv-Welch (LZW) compression codes. It could achieve better hiding capacity by increasing the number of symbols available to hide secrets and faster hiding and extracting speeds due to the lower computation requirements. HPDH-LZW scheme embeds secret data in LZW compression codes by modifying the value of the compression codes, but the modified LZW compression codes is not continuous so that its data space could not be fully used. To solve this problem, we subdivide the compression codes data space and hide different number of secret data in different subspaces. Guided by the idea we realize an improved reversible data-hiding scheme for LZW codes. Experiments show that the scheme we proposed has greater data hiding capacity without increasing the size of the compression file and computational complexity when compared with HPDH-LZW scheme.

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A high-performance reversible data-hiding scheme for LZW codes

Cited by 17 publications

References 9 publications

Block Construct BCH LZW Algorithm for Medical Image Compression

Block Construct BCH LZW Algorithm for Medical Image Compression

Contemporary Approaches on Reversible Data Hiding Methods: A Comparative Study

An Improved Reversible Data-Hiding Scheme for LZW Codes

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