Reversible steganographic method using SMVQ approach based on declustering

Chang, Chin‐Chen; Lin, Chih-Yang

doi:10.1016/j.ins.2006.09.014

Cited by 55 publications

(26 citation statements)

References 16 publications

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“…In the spatial domain, Tian explored redundancies in the digital content to achieve a reversible stego-image [17], and Mehmet used the generalized LSB of a pixel in a cover image to design a lossless data embedding system [1]. In the compression domain, Chang et al modified the codeword selection method of side-mach quantization vector (SMVQ) and further proposed two reversible data hiding scheme [4,6]. In the frequency domain, Fridrich et al [10] presented an invertible watermarking scheme for authenticating digital images in the JPEG domain.…”

Section: Introductionmentioning

confidence: 99%

Reversible hiding in DCT-based compressed images

Chang

Lin

Tseng

et al. 2007

Information Sciences

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296

159

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Section: Introductionmentioning

confidence: 99%

Reversible hiding in DCT-based compressed images

Chang

Lin

Tseng

et al. 2007

Information Sciences

Self Cite

296

159

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“…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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“…Some reversible hiding methods are deve− loped for raw images utilizing either the difference expan− sion or the histogram properties; some are devised for VQ−compressed images, in which the hidden data can be extracted and the original cover VQ\SMVQ image can be reconstructed as well. The existing reversible hiding appro− aches based on VQ or SMVQ images can be classified into three categories according to their outputs: l raw images as outputs [8,9], l VQ\SMVQ codes as outputs [10,11], l VQ\SMVQ codes with additional control messages as outputs [12,13]. Wang and Lu proposed a path optional lossless data hid− ing scheme based on VQ joint neighbouring coding (JNC) in 2009 [15].…”

Section: Introductionmentioning

confidence: 99%

A novel data hiding and reversible scheme using SMN blocks in VQ-compressed images

Huang

Wang

2011

Opto-Electronics Review

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Data hiding is a technique for embedding secret data into cover media. It is important to multimedia security and has been widely studied. Reversible data hiding methods are becoming prevalent in the area because they can reconstruct the original cover image while extracting the embedded data. In this paper, we propose a new reversible method for vector quantization (VQ) compressed images. Our method takes advantages of the relationship among the side match neighbouring (SMN) blocks to achieve reversibility. The experimental results show that the proposed method has higher compression rate and larger capacity than other existing reversible methods.

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Reversible steganographic method using SMVQ approach based on declustering

Cited by 55 publications

References 16 publications

Reversible hiding in DCT-based compressed images

Reversible hiding in DCT-based compressed images

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

A novel data hiding and reversible scheme using SMN blocks in VQ-compressed images

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