Quantum watermarking scheme through Arnold scrambling and LSB steganography

Zhou, Ri-Gui; Hu, Wen Hua; Fan, Ping

doi:10.1007/s11128-017-1640-9

Cited by 75 publications

(19 citation statements)

References 41 publications

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“…Quantum image watermarking has recently received considerable attention. Based on the developed quantum image representation models, many watermarking techniques have been proposed [20]- [26]. The scheme proposed in this paper falls into the category of quantum image watermarking methods.…”

Section: ] Deutsch's Parallel Computingmentioning

confidence: 99%

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Quantum Image Watermarking Algorithm Based on Haar Wavelet Transform

Hu¹,

Zhou²,

El-Rafei

et al. 2019

IEEE Access

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In this paper, a novel frequency domain quantum watermarking scheme is proposed based on the Flexible Representation of Quantum Images, which can embed a 2 n1 × 2 n1 binary watermark image into a 2 n × 2 n grayscale carrier image. The quantum Haar wavelet transform is developed and used to decompose quantum images. The diagonal detail coefficients of the carrier image are obtained from the image decomposition. Then, according to the watermark image information, the diagonal wavelet coefficients are either unchanged or slightly modified. Since all of the used quantum operations are invertible, extraction of the watermark image is performed in a straightforward manner by reversing the watermarking embedding process. Finally, the proposed quantum image watermarking scheme is simulated on a classical computer and evaluated under different carrier and watermark images. The simulation results and performance analyses indicate the high performance of the presented watermarking scheme in terms of the similarity between the watermarked and carrier images.

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Section: ] Deutsch's Parallel Computingmentioning

confidence: 99%

“…The methods developed for quantum image watermarking can be categorized based on their domain of operation: spatial domain [20]- [23] and frequency domain [24]- [26]. The algorithms in the first category insert the watermarking information in the spatial domain.…”

Section: Related Workmentioning

confidence: 99%

Quantum Image Watermarking Algorithm Based on Haar Wavelet Transform

Hu¹,

Zhou²,

El-Rafei

et al. 2019

IEEE Access

Self Cite

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“…The input imageis divided into 8x8 block size and the original image size is considered as . The DCT coefficient for given image can be computed as: (8) Where and…”

Section: Discrete Cosine Transform (Dct)mentioning

confidence: 99%

“…Islam et al [7] presented LSB image steganography technique along with the AES encryption technique. Zhou et al [8] also presented a combined approach of watermarking and steganography where Arnold scrambling with LSB is implemented to improve the steganography. The techniques presented in [3,7,8] are implemented for image steganography.…”

Section: Introductionmentioning

confidence: 99%

“…Zhou et al [8] also presented a combined approach of watermarking and steganography where Arnold scrambling with LSB is implemented to improve the steganography. The techniques presented in [3,7,8] are implemented for image steganography. Thangadurai et al [9] introduced LSB steganography for hiding text secret message into the audio cover data.…”

Section: Introductionmentioning

confidence: 99%

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Combined Audio Steganography and AES Encryption to Hide the Text and Image into Audio using DCT

Bandi*¹,

S²

2019

IJRTE

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Recently, security has become the prime concern for any organization and other civil and military applications. In this field of security, the data security during communication over an insecure wireless channel is the most important task which can be done by performing cryptography, watermarking and steganography. However, cryptography and watermarking schemes can be identified easily because of change in the data structure hence attackers can focus on that particular part to hack the secret information whereas steganography is a hiding mechanism in which secret message can be concealed into the cover and it can be retrieved at the receiver end. Several techniques have been introduced during last decade which are focused on image-image steganography and audio steganography. In the proposed work, we concentrate on audio steganography and develop a novel approach where secret message can be in the form of plain text or image, whereas cover message is in the form of audio. In order to provide additional security to this model we incorporate AES encryption scheme where secret message is encrypted and hidden in the cover audio. The proposed approach uses DCT coefficient computation and AES encryption scheme. An extensive experimental study is carried based on different test cases and evaluated against state-of-art techniques. The experimental study shows that the proposed approach achieves better performance for audio steganography.

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A Novel Quantum Color Image Encryption Scheme Based on Controlled Alternate Quantum Walks

Ting

2021

Lecture Notes in Computer Science

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Quantum watermarking scheme through Arnold scrambling and LSB steganography

Cited by 75 publications

References 41 publications

Quantum Image Watermarking Algorithm Based on Haar Wavelet Transform

Quantum Image Watermarking Algorithm Based on Haar Wavelet Transform

Combined Audio Steganography and AES Encryption to Hide the Text and Image into Audio using DCT

A Novel Quantum Color Image Encryption Scheme Based on Controlled Alternate Quantum Walks

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