Reversible Data Hiding Based on Histogram Modification of SMVQ Indices

Lee, Jiann-Der; Chiou, Yaw-Hwang; Guo, Jing-Ming

doi:10.1109/tifs.2010.2066971

Cited by 48 publications

(29 citation statements)

References 21 publications

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“…A reversible data hiding method hiding embedding data into a transformed media and holds lossless reinstatement of vector quantization (VQ) indices has lately been presented by Lee et al (2010). The side-matched VQ scheme modifies the VQ compressed image to lead a transformed media, so that, to obtain very high embedding capacity and a low bit rate [42].…”

Section: Smvq (Side-matched Vector Quantization)mentioning

confidence: 99%

Section: Smvq (Side-matched Vector Quantization)mentioning

confidence: 99%

“…The side-matched VQ scheme modifies the VQ compressed image to lead a transformed media, so that, to obtain very high embedding capacity and a low bit rate [42]. 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.…”

Section: Smvq (Side-matched Vector Quantization)mentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Smvq (Side-matched Vector Quantization)mentioning

confidence: 99%

Section: Smvq (Side-matched Vector Quantization)mentioning

confidence: 99%

Section: Smvq (Side-matched Vector Quantization)mentioning

confidence: 99%

See 1 more Smart Citation

Contemporary Approaches on Reversible Data Hiding Methods: A Comparative Study

Kuslu¹,

Yalman²

2016

Int J App Math Elt Comp

View full text Add to dashboard Cite

show abstract

“…The difference value usually needs fewer bits than the index itself, and then some secret bits are concatenated to each difference value. Scheme [16] appends secret bits to the SMVQ indices. In [29] a method has been proposed to compress the VQ index table namely adjoining state codebook mapping; for each block two state codebooks are constructed and the index is encoded by its position in the state codebooks, some secret bits are appended to the compressed code of each index.…”

Section: Introductionmentioning

confidence: 99%

A low distortion reversible data hiding scheme for search order coding of VQ indices

Rahmani

Dastghaibyfard

2014

Multimed Tools Appl

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In recent years many reversible data hiding schemes for vector quantization (VQ)-compressed images have been developed. However most of them generate non-legitimate codes as output and make the data hiding behavior detectable. Moreover existing schemes with legitimate outputs usually need side information to achieve reversibility. In this paper a reversible data hiding scheme for VQ-compressed images based on search order coding (SOC) is proposed which generate legitimate SOC codes as output. For each index of the input VQ index table which finds a match in its corresponding SOC path, the indices located in the SOC path are clustered, and then SOC codes of some blocks are changed to SOC code of one of the indices in the same cluster to hide data. Some SOC codes are re-encoded using original index value (OIV) codes for recovery purpose. By the strategy of re-encoding, the proposed scheme doesn't need any side information. The proposed scheme adaptively adjusts the criteria of exchangeability of the indices based on the smoothness level of each image block to prevent appearing spots in the stego-image. Experimental results show that the proposed scheme on average could embed about 0.5 bits per index by only about 0.67 dB degradation of image quality for a set of test images includes smooth an complicated images. Also superiority of the proposed scheme when compared with the previous schemes is confirmed from various aspects; hiding capacity, stego-image quality, the average of the bit rate of the output code, and the execution time.

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“…proposed [1,3,[5][6][7]. Tian [7] expands the difference of two adjacent pixels to embed secret bits.…”

mentioning

confidence: 99%

Reversible data hiding in encrypted image using new embedding pattern and multiple judgments

Pan

Wang

et al. 2015

Multimed Tools Appl

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This work proposes a data embedding method in encrypted images. The proposed method introduces a new embedding pattern which using the pixel spatial correlation in a block and border pixels on the block sides to achieve a low error rate effectively. In the extraction end, the neighboring blocks are also adopted to predict the current block to calculate the smoothness more accurately. Experimental results show our proposed method performs better than Zhang's method and Hong's method. In the case of the block size is 8×8, the error rate for the cover image Lena in Zhang's method is 1.25 % and the error rate of Hong's method is 0.34 %, while the error rate in our proposed embedding method reduces to 0.2 %.

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Reversible Data Hiding Based on Histogram Modification of SMVQ Indices

Cited by 48 publications

References 21 publications

Contemporary Approaches on Reversible Data Hiding Methods: A Comparative Study

Contemporary Approaches on Reversible Data Hiding Methods: A Comparative Study

A low distortion reversible data hiding scheme for search order coding of VQ indices

Reversible data hiding in encrypted image using new embedding pattern and multiple judgments

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