Image compression and encryption scheme based on 2D compressive sensing and fractional Mellin transform

Zhou, Nanrun; Li, Haolin; Wang, Di; Pan, Shumin; Zhou, Zhihong

doi:10.1016/j.optcom.2014.12.084

Cited by 249 publications

(79 citation statements)

References 40 publications

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“…Meanwhile, various optical transforms such as fractional Fourier transform, Fresnel transform, gyrator transform, and other means have been applied, where additional parameters can be considered the secret keys to enhance the level of security [16][17][18][19][20][21][22][23][24][25][26][27][28]. Due to its novel physical characteristics such as the complexity of its optical parameters, the ghost imaging technique can provide a promising alternative for the optical cryptosystem [29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Optical image encryption via high-quality computational ghost imaging using iterative phase retrieval

Sui

Cheng

et al. 2018

Laser Phys. Lett.

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A novel computational ghost imaging scheme based on specially designed phase-only masks, which can be efficiently applied to encrypt an original image into a series of measured intensities, is proposed in this paper. First, a Hadamard matrix with a certain order is generated, where the number of elements in each row is equal to the size of the original image to be encrypted. Each row of the matrix is rearranged into the corresponding 2D pattern. Then, each pattern is encoded into the phase-only masks by making use of an iterative phase retrieval algorithm. These specially designed masks can be wholly or partially used in the process of computational ghost imaging to reconstruct the original information with high quality. When a significantly small number of phase-only masks are used to record the measured intensities in a single-pixel bucket detector, the information can be authenticated without clear visualization by calculating the nonlinear correlation map between the original image and its reconstruction. The results illustrate the feasibility and effectiveness of the proposed computational ghost imaging mechanism, which will provide an effective alternative for enriching the related research on the computational ghost imaging technique.

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Section: Introductionmentioning

confidence: 99%

Optical image encryption via high-quality computational ghost imaging using iterative phase retrieval

Sui

Cheng

et al. 2018

Laser Phys. Lett.

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“…In [16], an image information encryption method based on compressive sensing and double random-phase encoding is proposed. Lately, Zhou et al proposed a novel image compressionencryption scheme by combining 2D compressive sensing with nonlinear fractional Mellin transform [17]. To overcome the low-security and reduce the possible transmission burden, an efficient image compression-encryption scheme based on hyperchaotic system and 2D compressive sensing is proposed [18].…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Technique Combining Compressive Sensing with Double Random-Phase Encoding

Huang

Yang

2018

Mathematical Problems in Engineering

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A new image compression-encryption method based on compressive sensing and double random-phase encoding is proposed, which can complete image compression and encryption simultaneously. We utilize the hyperchaotic system to generate a measurement matrix and two random-phase masks first. Then the original image is measured by measurement matrix to accomplish encryption and compression at the same time, next the compressed image is reencrypted by the double random-phase encoding technique with the two random-phase masks, and lastly the resulting image is confused and diffused by using hyperchaotic system simultaneously. Some numerical simulations verify the validity and the reliability of the proposed algorithm.

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“…Optical encryption methods have attached much attention because they have various merits [13][14][15][16][17][18][19][20][21][22][23][24][25]. Double random-phase encoding in the Fresnel domain was proposed in 2004, and the encryption method is more flexible and compact because it is lensless and has higher security [26].…”

Section: Introductionmentioning

confidence: 99%

Two-Step Integral Imaging Coding Based Three-Dimensional Information Encryption Approach

Min

Xiao

et al. 2018

Security and Communication Networks

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We propose a two-step integral imaging coding based three-dimensional (3D) information encryption approach in this paper. In this approach, a synthetic aperture integral imaging system is applied to acquire a set of parallax images including spatial and angular information of 3D scene. In the encryption process, two-step coding is performed. In the first step, the acquired parallax images are encrypted firstly by double random-phase coding in the Fresnel domain. In the second step, these encrypted parallax images are encoded into a cipher image by mapping algorithm which is used to generate elemental image array of integral imaging. In the decryption process, an inverse operation is performed. The experimental results demonstrate the feasibility, security, and robustness of the proposed approach.

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Image compression and encryption scheme based on 2D compressive sensing and fractional Mellin transform

Cited by 249 publications

References 40 publications

Optical image encryption via high-quality computational ghost imaging using iterative phase retrieval

Optical image encryption via high-quality computational ghost imaging using iterative phase retrieval

Image Encryption Technique Combining Compressive Sensing with Double Random-Phase Encoding

Two-Step Integral Imaging Coding Based Three-Dimensional Information Encryption Approach

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