Data hiding method for AMBTC compressed images

Chen, Yung-Yao; Hsia, Chih-Hsien; Jhong, Sin-Ye; Lin, Hwei-Jen

doi:10.1007/s12652-018-1048-0

Cited by 21 publications

(11 citation statements)

References 18 publications

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“…After extracting the secret data from the stego image, the AMBTC reconstructed image can be recovered. Earlier methods proposed by Lin et al [31], Chen et al [38], and Kim et al [39] can embed secret data with no more than 16 bits for each embeddable block.…”

Section: Introductionmentioning

confidence: 99%

Asymmetric Data Hiding for Compressed Images with High Payload and Reversibility

2021

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Hiding secret data in digital images is an attractive topic in the information security research area. Because the data-embedded stego image looks exactly the same as a regular image, transmitting secret data with stego images does not draw the attention of eavesdroppers, thus fulfilling the goal of information security. Many reversible data hiding (RDH) methods for absolute moment block truncation coding (AMBTC) compressed images have been proposed. These methods hide secret data in an AMBTC-compressed image to produce a stego image and transmit it to the recipient. Upon receiving the stego image, the recipient can extract the secret data and recover the AMBTC-compressed image. In this paper, we propose an RDH scheme for AMBTC-compressed images with an asymmetric embedding rule. Using the AMBTC-compressed version as the basis, the proposed embedding scheme always modifies a pixel value toward its original value with a step size (bitrate) proportional to the gap width. Therefore, the visual quality of the stego image is better than the referred AMBTC version. Additionally, as a result of the adaptive bitrate strategy, the data embedding capacity of the proposed scheme outperforms that of state-of-the-art methods. The security of the resulting stego images was also tested by RS-steganalysis. Experimental results show that the overall performance of the proposed scheme is satisfactory. We revised it, please confirm.

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Section: Introductionmentioning

confidence: 99%

Asymmetric Data Hiding for Compressed Images with High Payload and Reversibility

2021

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“…The types of information exchange have undergone a radical transformation during last few decades. In the recent scenario, we exchange our most of the information in the form of digital images using electronic devices such as computers or mobiles [1][2][3][4]. Hence, security of digital images is a matter of great concern.…”

Section: Introductionmentioning

confidence: 99%

An ILM-cosine transform-based improved approach to image encryption

Dua

Suthar

Garg

et al. 2020

Complex Intell. Syst.

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The chaos-based cryptography techniques are used widely to protect digital information from intruders. The chaotic systems have some of special features that make them suitable for the purpose of encryption. These systems are highly unpredictable and are highly sensitive or responsive to the initial conditions, also known as butterfly effect. This sensitive dependence on initial conditions make these systems to exhibit an intricate dynamical behaviour. However, this dynamical behaviour is not much complex in simple one-dimensional chaotic maps. Hence, it becomes easy for an intruder to predict the contents of the message being sent. The proposed work in this paper introduces an improved method for encrypting images, which uses cosine transformation of 3-D Intertwining Logistic Map (ILM). The proposed approach has been split into three major parts. In the first part, Secure Hash Function-256 (SHA-256) is used with cosine transformed ILM (CT-ILM) to generate the chaotic sequence. This chaotic sequence is used by high-efficiency scrambling to reduce the correlations between the adjacent pixels of the image. In the second part, the image is rotated to move all the pixels away from their original position. In the third part, random order substitution is applied to change the value of image pixels. The effectiveness of the proposed method has been tested on a number of standard parameters such as correlation coefficient, Entropy and Unified average change in intensity. The proposed approach has also been tested for decryption parameters like mean square error and peak signal to noise ratio. It can easily be observed from the obtained results that the proposed method of image encryption is more secure and time efficient than some earlier proposed techniques. The approach works for both color and grey scale images.

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“…Kim et al [19] applied histogram modification to use '1s' of the bitmap to embed almost 8 bits of secret data and to add one new quantization value for one block to reduce the compression ratio while increasing image quality compared with [18]. Later, Chen et al [20] adopted four disjointed embedding strategies according to the four corner values of the bitmap. This method can achieve the same hiding capacity and compression ratio as [18] and offer almost the same image quality as [19].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Data Hiding Method for Strict AMBTC Format Images with High-Fidelity

2019

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With the rapid development of smartphones, cloud storage, and wireless communications, protecting the security of compressed images through data transmission on the Internet has become a critical contemporary issue. A series of data hiding methods for AMBTC compressed images has been proposed to solve this problem. However, most of these methods either change the file size of the final compressed code or exchange the order of two quantization values in some blocks. To reverse this situation, this paper proposes a data hiding method for strict AMBTC format images using a hybrid strategy: replacement, matrix encoding, and symmetric quantization value embedding for three block types i.e., smooth blocks, less complex blocks and highly complex blocks. According to the hybrid strategy, an efficient data hiding order is designed to achieve higher-fidelity. Experimental results show that our proposed method provides an excellent balance between image quality and hiding capacity and has no error blocks in the final stego-compressed code.

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Data hiding method for AMBTC compressed images

Cited by 21 publications

References 18 publications

Asymmetric Data Hiding for Compressed Images with High Payload and Reversibility

Asymmetric Data Hiding for Compressed Images with High Payload and Reversibility

An ILM-cosine transform-based improved approach to image encryption

A Hybrid Data Hiding Method for Strict AMBTC Format Images with High-Fidelity

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