Watermarking and authentication of quantum images based on restricted geometric transformations

Iliyasu, Abdullah M.; Le, Phuc Q.; Dong, Fangyan; Hirota, Kaoru

doi:10.1016/j.ins.2011.09.028

Cited by 204 publications

(122 citation statements)

References 22 publications

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“…Similarly, these advancements have led to many applications in the areas of watermarking, 34,[36][37][38][39][40][41][42] encryption, [43][44][45][46][47][48][49][50]52,59,53 and steganography, [55][56][57] etc., which form the core security technologies highlighted in this review.…”

Section: Discussionmentioning

confidence: 99%

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Quantum image processing: A review of advances in its security technologies

Yan

Iliyasu

Le³

2017

Int. J. Quantum Inform.

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123

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In this review, we present an overview of the advances made in quantum image processing (QIP) comprising of the image representations, the operations realizable on them, and the likely protocols and algorithms for their applications. In particular, we focus on recent progresses on QIP-based security technologies including quantum watermarking, quantum image encryption, and quantum image steganography. This review is aimed at providing readers with a succinct, yet adequate compendium of the progresses made in the QIP sub-area. Hopefully, this e®ort will stimulate further interest aimed at the pursuit of more advanced algorithms and experimental validations for available technologies and extensions to other domains.Keywords: Quantum image; quantum movie; quantum audio; quantum watermarking; quantum image encryption; quantum image steganography.

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Section: Discussionmentioning

confidence: 99%

“…2, particularly, the FRQI representation, the work in Ref. 34 by Iliyasu et al is credited as being the¯rst quantum image security protocol. In that study, a scheme called WaQI (i.e.…”

Section: Algorithms For Quantum Watermarkingmentioning

confidence: 99%

Quantum image processing: A review of advances in its security technologies

Yan

Iliyasu

Le³

2017

Int. J. Quantum Inform.

Self Cite

123

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“…A detailed and astute understanding of the GTQI operations equips quantum circuit designers with the adroitness to realize more complex transformations, restricted GTQI (rGTQI), giving birth to more robust and advanced applications and utilities for quantum image processing. The groundwork needed for this has already been covered in available literature [33,37,40]. We refer interested readers to these insightful materials for additional information.…”

Section: Fast Geometric Transformations On Frqi Quantum Imagesmentioning

confidence: 99%

“…The quantum images are prepared from the classical images using FRQI representation [12,21,33,37]. The color information and the corresponding positions of every point in the classical image is integrated into the quantum state, and the 2 m +1 quantum images being compared are combined as a Z-strip.…”

Section: Image Searching On Quantum Mechanical Systemsmentioning

confidence: 99%

“…Many image processing strategies exploiting FRQI representation are developed to process transformations that target the geometric information and the color information [29][30][31][32]. In addition, applications based on FRQI representation are presented, such as the watermarking strategies [33][34][35], quantum image data searching [36][37][38] and the framework of producing quantum movies [12,39].…”

Section: Introductionmentioning

confidence: 99%

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Quantum Computation-Based Image Representation, Processing Operations and Their Applications

Yan

Iliyasu

Jiang

2014

Entropy

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A flexible representation of quantum images (FRQI) was proposed to facilitate the extension of classical (non-quantum)-like image processing applications to the quantum computing domain. The representation encodes a quantum image in the form of a normalized state, which captures information about colors and their corresponding positions in the images. Since its conception, a handful of processing transformations have been formulated, among which are the geometric transformations on quantum images (GTQI) and the CTQI that are focused on the color information of the images. In addition, extensions and applications of FRQI representation, such as multi-channel representation for quantum images (MCQI), quantum image data searching, watermarking strategies for quantum images, a framework to produce movies on quantum computers and a blueprint for quantum video encryption and decryption have also been suggested. These proposals extend classical-like image and video processing applications to the quantum computing domain and offer a significant speed-up with low computational resources in comparison to performing the same tasks on traditional computing devices. Each of the algorithms and the mathematical foundations for their execution were simulated using classical computing resources, and their results were analyzed alongside other classical computing equivalents.Entropy 2014, 16 5291The work presented in this review is intended to serve as the epitome of advances made in FRQI quantum image processing over the past five years and to simulate further interest geared towards the realization of some secure and efficient image and video processing applications on quantum computers.

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