Compressed Sensing of Images Using Nonuniform Sampling

Zhou, Cheng; Xiong, Caiming; Rui-xue, Mao; Gong, Junbin

doi:10.1109/icicta.2011.405

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…However, although the block cipher structure could reduce the compression complexity and improve the performance, the sparse characteristic of block coefficient was neglected due to the common uniform sampling in BCS process. A nonuniform sampling strategy in BCS was proposed by Zhou et al [28]. The high-frequency component of DCT coefficients was measured by common CS and low-frequency component was not compressed.…”

Section: Introductionmentioning

confidence: 99%

“…We focus on improving the compression efficiency via the nonuniform sampling model. Unlike the proposed algorithm in [28], all frequency components are measured as different tactics to guarantee the robustness. Due to the ''energy compaction'' property of DCT, the coefficient matrix of each block is divided into three parts: the low-frequency component (LFC) located in the upper left corner, the high-frequency component (HFC) located in the lower right corner, and the relative ''mediumfrequency'' component (MFC) filled in the middle.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Image Encryption Scheme Based on Nonuniform Sampling in Block Compressive Sensing

et al. 2019

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This paper devotes to the image compression and encryption problems. We develop a novel hybrid scheme based on block compressive sensing. Concentrate on taking full advantage of the different frequency coefficients sparsity, the nonuniform sampling strategy is adopted to improve the compression efficiency. First, the discrete cosine transform coefficients matrices of blocks are transformed into vectors by zigzag scanning. The different frequency components are extracted in the front, middle, and back of vectors, respectively. Using the measurement matrices with different dimensions, the combination of lowand high-frequency components, together with the medium-frequency coefficients are compressed simultaneously. Second, the recombinational block measurements are re-encrypted by the permutation-diffusion framework. The logistic map is introduced for key stream generation. In order to accomplish a sensitive and effective cryptosystem, the control strategy for secret keys is employed. The simulation results indicate that the proposed scheme forms a high balance between reconstruction performance, storage and computational complexity, and hardware implementation. Moreover, the security analyses demonstrate the satisfactory performance and effectiveness of the proposed cryptosystem. The scheme can work efficiently in the parallel computing environment, especially for the images with medium and large size. INDEX TERMS Block compressive sensing, image cryptosystem, logistic map, nonuniform sampling strategy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Scheme Based on Nonuniform Sampling in Block Compressive Sensing

et al. 2019

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“…The use of TMM-based NUS strategy produces the same range of PSNR with much reduced measurements when compared to the original NUS strategy [11]. The number of coefficients in important component (NIC) is kept constant and the number of CS measurements is varied, the NM and PSNR obtained with binDCT are given in Table 4.…”

Section: Two-measurement Matrix-based Nonuniform Sampling (Nus) Csmentioning

confidence: 99%

“…Zhou et al [11] proposed NUS of CS. The image is divided into blocks, DCT transformed, zigzag ordered, and then classified as important and nonimportant coefficients.…”

Section: Related Workmentioning

confidence: 99%

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Efficient Image Transmission over WVSNs Using Two-Measurement Matrix Based CS with Enhanced OMP

Rajendran¹,

Sankararajan²,

Justus³

2014

International Journal of Distributed Sensor Networks

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WVSN is a collective network of motes containing visual sensors. The nodes in the network are capable of acquiring, compressing, and transmitting successive images to the sink. To increase the lifetime of such network, it is essential to reduce the amount of dataflow across the network without losing the integrity. This paper proposes a CS-based image transmission system to reduce the number of measurements required to represent the image. It utilizes a two-measurement matrix-based CS. TMM with CS leads to 2.8% to 6.7% and 0.67% to 7.9% reduction in the number of measurements compared to one MM-based CS while using DCT and binary DCT, respectively. Similarly, TMM with NUS CS leads to 5% to 40% (DCT) and 1.4% to 20% (binDCT) reduction in the number of measurements than one-measurement matrix-based NUS CS. An Enhanced Orthogonal Matching Pursuit algorithm is also proposed, which produces nearly 2% to 26% better recovery rate with the same number of measurements than the conventional OMP algorithm. Reduced measurements and better recovery rate achieved will enhance the lifetime of the WVSN, with considerable image quality. Rate distortion analysis of the proposed methodology is also done.

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Energy efficient surveillance system using WVSN with reweighted sampling in modified fast Haar wavelet transform domain

Monika

Hemalatha²,

Radha³

2018

Multimed Tools Appl

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Compressed Sensing of Images Using Nonuniform Sampling

Cited by 6 publications

References 9 publications

A Novel Image Encryption Scheme Based on Nonuniform Sampling in Block Compressive Sensing

A Novel Image Encryption Scheme Based on Nonuniform Sampling in Block Compressive Sensing

Efficient Image Transmission over WVSNs Using Two-Measurement Matrix Based CS with Enhanced OMP

Energy efficient surveillance system using WVSN with reweighted sampling in modified fast Haar wavelet transform domain

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