Novel quantum gray-scale image matching

Yang, Yu‐Guang; Zhao, Qianqian; Sun, Siyuan

doi:10.1016/j.ijleo.2015.08.010

Cited by 23 publications

(11 citation statements)

References 9 publications

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“…Compared with the value 5,189,090 of Lena with watermark in Ref. [26], we can see that the values of the sum all the grayscale differences between cover image and stego image in our proposed scheme are smaller. Figure 13.…”

Section: Visual Qualitymentioning

confidence: 65%

“…Before this, inspired to Ref. [41] that proposed a method to analyze the similarity between two quantum images of the same size based on the flexible representation of quantum images, a quantum image matching algorithm was introduced in [26], which sums up all the grayscale differences between two quantum images. In this chapter, we use the above two algorithms to assess the similarity of two images.…”

Section: Simulations and Analysismentioning

confidence: 99%

“…To verify the visual quality of the proposed scheme, we use the algorithm introduced in [26] to compare the congruity of the stego image and the cover image. Here, we briefly describe the algorithm as follows and the details can be acquired in [26].…”

Section: Visual Qualitymentioning

confidence: 99%

“…So various quantum representations have been proposed, such as, Qubit Lattice [3], entangled image [4], real ket [5], flexible representation of quantum images (FRQI) [6], a novel enhanced quantum representation of digital images (NEQR) [7], multichannel representation for quantum images (MCRQI) [8], a normal arbitrary quantum superposition state (NAQSS) [9], and a novel quantum representation for color digital images (NCQI) [10]. Secondly, many kinds of quantum image processing algorithms were developed, such as geometric transformations [11,12], image translation [13][14][15], image scaling [16][17][18], image scrambling [19][20][21], image segmentation [22], feature extraction [23], edge detection [24], and image matching [25,26].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Quantum Steganography Scheme Based on ASCII

Zhou¹,

Luo²

2020

Advances in Quantum Communication and Information

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Based on the novel enhanced quantum representation for quantum image (NEQR), a new blind quantum steganography scheme is proposed. In this scheme, an improved quantum representation of text utilizing ASCII is provided that uses two qubit sequences to store the same quantum text message. The general embedding process of the scheme is as follows: firstly, the cover image of sized 2 n Â 2 n will be divided into eight blocks of sized 2 nÀ2 Â 2 nÀ1 , and the secret quantum text of sized 2 nÀ2 Â 2 nÀ1 is scrambled by Gray code transform method. Then, the disorder quantum text is embedded into the eight blocks of cover image employing the Gray code as a judgment condition. Meanwhile, the corresponding quantum circuits are drawn. Through the analysis of all quantum circuits, it can be concluded that the scheme has a lower complexity, that is, O(n). And the performance of the proposed scheme is analyzing in terms of simulation results of three items: visual quality, circuit complexity, and robustness.

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Section: Visual Qualitymentioning

confidence: 65%

Section: Simulations and Analysismentioning

confidence: 99%

Section: Visual Qualitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Quantum Steganography Scheme Based on ASCII

Zhou¹,

Luo²

2020

Advances in Quantum Communication and Information

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show abstract

“…Among them, flexible representation of quantum images (FRQI) 7 and a novel enhanced quantum representation of digital images (NEQR) 8 are widely adopted. Then, on the basis of FRQI and NEQR, researchers have contributed to quantum image processing algorithms and applications, such as quantum image translation 9,10 , quantum image scaling 11–15 , quantum image feature extraction 16 , quantum image matching 17–19 , and so on 20 .…”

Section: Introductionmentioning

confidence: 99%

Traceable Quantum Steganography Scheme Based on Pixel Value Differencing

Luo

Zhou

Luo

et al. 2019

Sci Rep

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A novel and traceable quantum steganography scheme based on pixel value differencing (PVD) is proposed. In the proposed scheme, a quantum cover image is divided into non-overlapping blocks of two consecutive pixels. Then, by a series of reversible logic circuits, we calculate the difference value based on the values of the two pixels in each block and classify it as one of a set of continuous ranges. The secret image and operator information are embedded in the cover image by using the new obtained difference value to replace the original one. The number of bits of secret image that can be embedded in a block is determined, and the number of bits of operator information is decided by the range of the difference value belongs to. Moreover, when the embedded data is extracted from a stego image, it is not necessary to refer to the original cover image. The performance of the proposed scheme is based on the analysis of several categories of simulation results, such as visual quality, capacity, and robustness.

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Restoration for Noise Removal in Quantum Images

Zhang

Lü

et al. 2017

Int J Theor Phys

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Novel quantum gray-scale image matching

Cited by 23 publications

References 9 publications

A Novel Quantum Steganography Scheme Based on ASCII

A Novel Quantum Steganography Scheme Based on ASCII

Traceable Quantum Steganography Scheme Based on Pixel Value Differencing

Restoration for Noise Removal in Quantum Images

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