Color image encoding in DOST domain using DWT and SVD

Kumar, Manoj; Agrawal, Smita

doi:10.1016/j.optlastec.2015.06.022

Cited by 15 publications

(5 citation statements)

References 25 publications

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“…In contrast, the plaintext image has different vertices expressing the image's content. 2,3,19,26,53 Figure 7 shows the histogram of the proposed algorithm's outputs. A high degree of regularity can be observed in the histogram columns of all test images.…”

Section: Distribution Analysis Of Pixelsmentioning

confidence: 99%

“…This tool is essential for evaluating an encryption algorithm’s performance, as encrypted images tend to have a uniform pixel distribution to prevent attackers from discerning the encrypted content. In contrast, the plaintext image has different vertices expressing the image’s content 2 , 3 , 19 , 26 , 53 Figure 7. shows the histogram of the proposed algorithm’s outputs.…”

Section: Experimental Analysis Of the Proposed Algorithmmentioning

confidence: 99%

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Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Abdul-Kareem,

Mahmoud Al-Jawher

2023

J. Electron. Imag.

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Growing reliance on digital communications has necessitated development of dependable and secure technologies to ensure that the transmission and reception of images over the Internet do not pose a risk to the data of individuals and governments. We propose developing a hybrid image encryption and compression algorithm by combining compressive sensing, the gray wolf algorithm, and multidimensional chaotic systems. It aims to generate a highly secure encrypted image while conserving transmission and storage resources. This algorithm overlaps several stages designed to protect vital images while minimizing size. First, the image is converted to the frequency domain using the discrete wavelet transform. Then, the discrete wavelet transform coefficients are scrambled globally using the Waleed-Ali Map and the gray wolf algorithm. Second, the confused image is measured by a parameters-controlled matrix to reduce transmission costs. The final encrypted image is obtained after performing the diffusion operation with a bitstream derived from the Nahrain chaotic map. The average peak signal-to-noise ratio score was 53.1995, and the average mean squared error score was 0.6130, demonstrating that the plaintext and decrypted images are identical. The average correlation coefficient score was −0.010095; the average entropy analysis was 7.9987; and the average number of pixel change rate and unified average changing intensity analyses were 99.60 and 33.52, respectively. The experimental results demonstrate the algorithm's efficiency and robustness, as well as the high quality of the reconstructed image.

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Section: Distribution Analysis Of Pixelsmentioning

confidence: 99%

Section: Experimental Analysis Of the Proposed Algorithmmentioning

confidence: 99%

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Abdul-Kareem,

Mahmoud Al-Jawher

2023

J. Electron. Imag.

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“…The Stockwell transform (ST) gives a full‐time‐frequency decomposition of a signal. The Stockwell transform [30] of a one‐dimensional function

h(t)

is defined as the Fourier transform (FT) of the product of

h(t)

and a Gaussian window function,

\begin{equation} S(\tau , f) =\int _{-\infty }^{\infty }h(t)\frac{{\left| f \right|}}{\sqrt {2\pi }}e^{-{\frac{(\tau - t)^2f^2}{2}}}e^{-{i2\pi {ft}}}dt, \end{equation}

where f represents the frequency. t and τ are time variables.…”

Section: Preliminariesmentioning

confidence: 99%

“…The Stockwell transform (ST) gives a full-time-frequency decomposition of a signal. The Stockwell transform [30] of a one-dimensional function h(t ) is defined as the Fourier transform (FT) of the product of h(t ) and a Gaussian window function,…”

Section: Discrete Orthonormal Stockwell Transform (Dost)mentioning

confidence: 99%

Image encryption based on fractional discrete cosine transform and DWT with interplane arrangements in dost domain

Sundaram

Panna

Jha

et al. 2022

IET Image Processing

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In this paper, a novel color image encryption scheme based on fractional discrete cosine transform (FrDCT) and discrete wavelet transform (DWT) with interplane arrangements in the discrete orthonormal Stockwell transform (DOST) domain is presented. Color images are encrypted using the keys of FrDCT and coefficients of interplane arrangement of DWT sub-bands. These keys are applied on three independent planes, that is, R, G, and B. To ensure the correct decryption of the encrypted image, every key need to be clearly understood in the correct sequence and its exact values. FrDCT has the advantageous feature of storing real-valued coefficients, and the energy of the image can be represented with very few coefficients. Therefore, transmitting and storing the encrypted image becomes easy. FrDCT may be considered a real-valued cosine version of fractional Fourier transform (FrFT), which is used successfully for storage and transmission due to its property of compacting energy distribution. Furthermore, for more robustness, interplane arrangements are explored. The concept of interplane arrangements has not been substantially reported in the existing literature. The comparison of the technique with other similar encryption techniques available in the literature has been carried out by performing different experiments to examine the efficacy of the proposed method. It is found that the proposed method outperforms other existing techniques.

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“…In [28], a color image cipher that employed FrFT in conjunction with DWT is presented. In [29], a secure color image cipher which employed a DWT and SVD is proposed. In [30], an image encoding which utilizes SVD and AT in FrFT is presented.…”

mentioning

confidence: 99%

Efficient Image Cipher using 2D Logistic Mapping and Singular Value Decomposition

AlZain¹

2018

ijacsa

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The research paper proposes an efficient image cryptosystem that depends on the utilization of two dimensional (2D) chaotic logistic map (CLM) and singular value decomposition (SVD). The encryption process starts by a confusion stage through applying the 2D-CLM to the input plainimage. Then, the resulted logistic transformed image is then decomposed using the SVD technique into three ciphered components; the horizontal, vertical, and diagonal components. The ciphered horizontal, vertical, and diagonal components are then transmitted to the destination which applies a reverse procedure to reconstruct the original plainimage. A matrix of encryption quality tests are performed for investigating the proposed 2D-CLM based SVD image cipher. The obtained test results confirmed and ensured the efficiency of the proposed 2D-CLM based SVD image cipher. Keywords-Image cipher; 2D-CL; SVD I. INTRODUCTION Recently, the unexpected growing in digital technology field witnessed a lot of attention. And this raises and makes the security issues of the data a critical important task especially during the transmission of sensitive data like images, audios, and videos [1-4]. Images may be utilized in different fields like medical, military, and communication fields, the images may carry important valuable information and may be shared over communication networks, so; it becomes a serious issue to maintain them secured as possible against all probable potential attacks. Plenty of works have been done in recent years and resulted in a many studies on image encryption [5-10]. Several image encoding methods were done and founded in literature like ones that depends on classical encryption like Advanced Encryption Standard (AES), Data Encryption Standard (DES), Double-DES, TDES, and International Data Encryption Algorithm (IDEA) [11-15]. Such techniques do not provide a satisfactory outcome because of image intrinsic characteristics like huge bulky capacity, high correlation, and redundancy [16-19].

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Color image encoding in DOST domain using DWT and SVD

Cited by 15 publications

References 25 publications

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Image encryption based on fractional discrete cosine transform and DWT with interplane arrangements in dost domain

Efficient Image Cipher using 2D Logistic Mapping and Singular Value Decomposition

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