A novel tamper detection scheme for BTC-compressed images

Hu, Yu‐Chen; Chen, W. L.; Lo, Chang-Hao; Wu, Cheng-Hsuan

doi:10.2478/s11772-013-0078-6

Cited by 18 publications

(7 citation statements)

References 17 publications

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“…In addition, the search of the optimal threshold for pixel group in BTC had also been proposed [23]. From the literature, some multimedia application based on BTC such as hybrid image coding, [24][25], progressive image transmission [26], data hiding [27][28], and image authentication [29][30][31] had been proposed.…”

Section: Review On Absolute Moment Block Truncation Codingmentioning

confidence: 99%

Reversible Data Hiding Scheme for BTC-compressed Images Based on Histogram Shifting

Lo¹,

Hu²,

Chen³

et al. 2014

IJSIA

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In this paper, we proposed a novel reversible data hiding scheme for the compressed images for block truncation coding (BTC). In this scheme, the secret data is embedded into the compressed codes of BTC. The histogram shifting technique is employed in the proposed scheme to embed the secret data into the quantization levels of the compressed codes. After the data embedding procedure is executed, the embedded compressed codes still follow the standard format of BTC. The experimental results reveal that the proposed scheme provides good image quality of the embedded image.

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Section: Review On Absolute Moment Block Truncation Codingmentioning

confidence: 99%

Reversible Data Hiding Scheme for BTC-compressed Images Based on Histogram Shifting

Lo¹,

Hu²,

Chen³

et al. 2014

IJSIA

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“…Besides, many studies based on compressed domains have also been proposed, as in [8], To get the recovery of VQ images, a new image steganography scheme is based on traditional VQ and repair technology is proposed. References [9], [10] proposed blockcutting compression (BTC-Compressed) image for image steganography and article [11] further improvements to the work of [9], [10], their steganography is based on the implementation of the compression domain. Also, other steganographic schemes have been proposed.…”

Section: Introductionmentioning

confidence: 99%

A New High Capacity Image Steganography Method Combined With Image Elliptic Curve Cryptography and Deep Neural Network

et al. 2020

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Image steganography is a technology that hides sensitive information into an image. The traditional image steganography method tends to securely embed secret information in the host image so that the payload capacity is almost ignored and the steganographic image quality needs to be improved for the Human Visual System(HVS). Therefore, in this work, we propose a new high capacity image steganography method based on deep learning. The Discrete Cosine Transform(DCT) is used to transform the secret image, and then the transformed image is encrypted by Elliptic Curve Cryptography(ECC) to improve the anti-detection property of the obtained image. To improve steganographic capacity, the SegNet Deep Neural Network with a set of Hiding and Extraction networks enables steganography and extraction of full-size images. The experimental results show that the method can effectively allocate each pixel in the image so that the relative capacity of steganography reaches 1. Besides, the image obtained using this steganography method has higher Peak Signal-to-Noise Ratio(PSNR) and Structural Similarity Index(SSIM) values, reaching 40dB and 0.96, respectively.

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“…However, forensic schemes faced with the low accuracy and high computation complexity. Since fragile watermarking is very sensitive to modifications, therefore, it is suitable to apply for image authentication [10][11][12][13][14][15][16][17][18] by hiding a watermark into the image. In the receiver side, the watermark is extracted to prove the integrity of the received image.…”

Section: Introductionmentioning

confidence: 99%

“…Besides above mentioned schemes [10][11][12][13][14], many state-of-the-art image authentication schemes based on fragile image watermarking techniques [15][16][17][18][19] have been proposed in the compression domain, i.e., vector quantization (VQ) and block truncation coding (BTC). Chuang and Hu [15] proposed an adaptive image authentication scheme for VQ-compressed images.…”

Section: Introductionmentioning

confidence: 99%

“…Instead of using VQ-compressed images for image authentication, Hu et al proposed two new schemes [17,18] by using BTC-compressed images. The scheme in [17], used permutation operation to embed the authentication code into bitmap several times, while the scheme in [18] used a joint image compression for image authentication of BTC-compressed images. In the scheme [18], the authentication code is also embedded into the bitmaps of BTC-compressed image.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A High-Quality Reversible Image Authentication Scheme Based on Adaptive PEE for Digital Images

2016

KSII TIIS

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Image authentication is a technique aiming at protecting the integrity of digital images. Reversible image authentication has attracted much attention of researcher because it allows to authenticate tampered regions in the image and to reconstruct the stego image to its original version losslessly. In this paper, we propose a new, reversible image authentication scheme based on adaptive prediction error expansion (PEE) technique. In the proposed scheme, each image block is classified into smooth or complex regions. Then, according to the characteristic of each block, the authentication code is embedded adaptively to achieve high performance of tamper detection. The experimental results demonstrated that the proposed scheme achieves good quality of stego images. In addition, the proposed scheme has ability to reconstruct the stego image to its original version, if no modification is performed on it. Also demonstrated in the experimental results, the proposed scheme provides higher accuracy of tamper detection than state-of-the-art schemes.

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A novel tamper detection scheme for BTC-compressed images

Cited by 18 publications

References 17 publications

Reversible Data Hiding Scheme for BTC-compressed Images Based on Histogram Shifting

Reversible Data Hiding Scheme for BTC-compressed Images Based on Histogram Shifting

A New High Capacity Image Steganography Method Combined With Image Elliptic Curve Cryptography and Deep Neural Network

A High-Quality Reversible Image Authentication Scheme Based on Adaptive PEE for Digital Images

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