scholarly journals Detectability Improved Tamper Detection Scheme for Absolute Moment Block Truncation Coding Compressed Images

Symmetry ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 318 ◽  
Author(s):  
Wien Hong ◽  
Xiaoyu Zhou ◽  
Der-Chyuan Lou ◽  
Xiaoqin Huang ◽  
Cancan Peng

Since digital media is gaining popularity nowadays, people are more concerned about its integrity protection and authentication since tampered media may result in unexpected problems. Considering a better media protection technique, this paper proposes an efficient tamper detection scheme for absolute moment block truncation coding (AMBTC) compressed images. In AMBTC, each image block is represented by two quantization levels (QLs) and a bitmap. Requiring insignificant computation cost, it attracts not only a wide range of application developers, but also a variety of studies to investigate the authentication of its codes. While the existing methods protect the AMBTC codes to a large extent, the leakage of some unprotected codes may be insensitive to intentional tampering. The proposed method fully protects the AMBTC codes by embedding authentication codes (ACs) into QLs. Meanwhile, the most significant bits of QLs are symmetrically perturbed to generate the candidates of ACs. The ACs that cause the minimum distortion are embedded into the least significant bits of QLs to minimize the distortion. When compared with prior works, the experimental results reveal that the proposed method offers a significant sensitivity-of-tamper property while providing a comparable image quality.

Mathematics ◽  
2021 ◽  
Vol 9 (20) ◽  
pp. 2610
Author(s):  
Tung-Shou Chen ◽  
Xiaoyu Zhou ◽  
Rong-Chang Chen ◽  
Wien Hong ◽  
Kia-Sheng Chen

In this paper, we propose a high-quality image authentication method based on absolute moment block truncation coding (AMBTC) compressed images. The existing AMBTC authentication methods may not be able to detect certain malicious tampering due to the way that the authentication codes are generated. In addition, these methods also suffer from their embedding technique, which limits the improvement of marked image quality. In our method, each block is classified as either a smooth block or a complex one based on its smoothness. To enhance the image quality, we toggle bits in bitmap of smooth block to generate a set of authentication codes. The pixel pair matching (PPM) technique is used to embed the code that causes the least error into the quantization values. To reduce the computation cost, we only use the original and flipped bitmaps to generate authentication codes for complex blocks, and select the one that causes the least error for embedment. The experimental results show that the proposed method not only obtains higher marked image quality but also achieves better detection performance compared with prior works.


2013 ◽  
Vol 21 (1) ◽  
Author(s):  
Y. Hu ◽  
W. Chen ◽  
C. Lo ◽  
C. Wu

AbstractA novel image authentication scheme for the compressed images of block truncation coding (BTC) is proposed in this paper. In the proposed scheme, 1-bit authentication data is generated from the quantization levels of each image block. Multiple block permutations are generated by using the random sequences induced by the selected random number seeds. Multiple copies of the authenticaiton data are embedded into the bit maps of BTC-compressed image blocks based on the block permutations. Experimental results show that the proposed scheme achieves good detecting accuracy while keeping good image quatiy of the embedded image.


2017 ◽  
Vol 77 (5) ◽  
pp. 5767-5783 ◽  
Author(s):  
Ngoc-Tu Huynh ◽  
K. Bharanitharan ◽  
Chin-Chen Chang ◽  
Yanjun Liu

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