Lossless recovery of a VQ index table with embedded secret data

Chang, Chin‐Chen; Wu, Wen-Chuan; Hu, Yu‐Chen

doi:10.1016/j.jvcir.2006.11.005

Cited by 61 publications

(49 citation statements)

References 10 publications

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“…One of the most common compression algorithms is VQ, which is an attractive option because of its simplicity and cost-effectiveness. Recently, Tu et al [98] presented an advanced version of the steganographic scheme proposed in [15], which is based on a vector quantization image compression technique. The steganographic schemes based on DWT and DCT can be found in [12,42,58,118].…”

Section: Steganographymentioning

confidence: 99%

Data Hiding Schemes: A Survey

Ali¹,

Ahn²,

Pant³

2016

Gate to Computer Science and Research

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Data hiding is the process of hiding an amount of data, called secret message or watermark, into a cover media that may be audio, video, or image signal, in an imperceptible way for different purposes. Due to the advances in generation, storage, and communication technology of digital media, the necessity and importance of data hiding has drawn the attention of many researchers all over the world resulting in a lot of variants of data hiding scheme. This chapter provides a detailed review of the basic concepts of data hiding and a survey of its major variants developed so far. The chapter classifies the data hiding schemes based on several aspects of data hiding comprising artificial intelligence. Furthermore, the chapter also provides the recommendations to the interested users for further research. This review may be a useful insight and a good source for the users who are interested in the application of artificial intelligence in data hiding.

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Section: Steganographymentioning

confidence: 99%

Data Hiding Schemes: A Survey

Ali¹,

Ahn²,

Pant³

2016

Gate to Computer Science and Research

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“…In recent years, the protection of digital information transmitted over the network has become extremely important. Data hiding [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] and cryptography [17][18][19] have become two important secure techniques for data protection. In encryption systems, encryption techniques, such as data encryption standard (DES) [17], RSA [18] and AES [19] protect secret messages by transforming them into the cipher text which usually seems meaningless.…”

Section: Introductionmentioning

confidence: 99%

“…In order to save bandwidth or space for data transmission or storage, many data hiding schemes in compression domain based on the vector quantization techniques (VQ) have been proposed [5][6][7][8][9][10][11][12][13][14][15]. In 2004, Chang et al proposed a reversible VQ-based data hiding scheme which embed the secret message into searchorder-coding (SOC) compression codes [5].…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding scheme for VQ indices based on modified locally adaptive coding and double-layer embedding strategy

Pan

et al. 2015

Journal of Visual Communication and Image Representation

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“…In such schemes the amount of similarity between the codewords corresponding to the indices to be replaced with each other isn't taken into consideration, in addition in most of them some additional information is added into the index table for recovery purpose. Literatures [22,11,31] embed data by index mapping techniques based on refer counts of the indices. The idea behind literatures [2,5,9,23,30] is to map the indices based on side match prediction.…”

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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Lossless recovery of a VQ index table with embedded secret data

Cited by 61 publications

References 10 publications

Data Hiding Schemes: A Survey

Data Hiding Schemes: A Survey

Reversible data hiding scheme for VQ indices based on modified locally adaptive coding and double-layer embedding strategy

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

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