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Robust Network Compressive Sensing
This book investigates compressive sensing techniques to provide a robust and general framework for network data analytics. The goal is to introduce...
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ICRICS: iterative compensation recovery for image compressive sensing
Closed-loop architecture is widely utilized in automatic control systems and attains distinguished dynamic and static performance. However, classical...
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Robust digital color image watermarking based on compressive sensing and DWT
In this paper, a powerful digital watermarking algorithm derived from compressive sensing and discrete wavelet transform to provide authentication...
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Transmission-Efficient Grid-Based Synchronized Model for Routing in Wireless Sensor Networks Using Bayesian Compressive Sensing
The concept of compressed sensing in wireless sensor networks (WSNs) involves the existence of only a small number of compressible signals that...
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ECG signals compression using dynamic compressive sensing technique toward IoT applications
This paper provides a novel compressive sensing (CS) technique to compress electrocardiogram (ECG) signals. The proposed technique extends a dynamic...
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Color image encryption based on discrete trinion Fourier transform and compressive sensing
To protect visual content in color images, this paper presents an encryption method by employing discrete trinion Fourier transform and compressive...
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A new image compression-encryption scheme based on compressive sensing & classical AES algorithm
In recent years, many compressive sensing methods have been suggested to encrypt and compress images. However, these algorithms have some flaws in...
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Limitation of Compressive Sensing
Real-world data are complicated and heterogeneous, and often violate the low-rank assumption required by existing compressive sensing techniques.
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A fast visually meaningful image encryption algorithm based on compressive sensing and joint diffusion and scrambling
This paper introduces a novel Fast Visually Meaningful Image Encryption based on Compressive Sensing and Joint Diffusion and Scrambling (FVMIECJ)....
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Image parallel block compressive sensing scheme using DFT measurement matrix
Compressive sensing (CS)-based image coding has been widely studied in the field of image processing. However, the CS-based image encoder has a...
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Efficient image coding through compressive sensing and chaos theory
This paper introduces an image coding algorithm for gray scale images based on Block Compressive Sensing (BCS). The Original signal is sparse in...
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A fast gradient-based sensing matrix optimization approach for compressive sensing
Sensing matrix design is among the essential keys for compressive sensing to efficiently reconstruct sparse signals. It has been demonstrated that...
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Directional lifting wavelet transform domain image steganography with deep-based compressive sensing
For image steganography, it is necessary to improve the quality of the reconstructed image and stego image as high as possible while maintaining the...
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DNA coding and chaos based image encryption using compressive sensing in MSVD domain
This paper introduces a novel image encryption technique using Compressive Sensing (CS) and DNA encoding. At first, the plain image is decomposed...
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Compression of electrocardiogram signals using compressive sensing technique based on curvelet transform toward medical applications
Electrocardiogram (ECG) signals can be monitored from many patients based on healthcare systems. To enhance these systems, the ECG signals should be...
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High-capacity data hiding in encrypted images based on compressive sensing and intra-block difference coding
Data hiding in encrypted images (DHEI) can not only protect the content of the original image but also manage and control the encrypted image, which...
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Image encryption algorithms based on two-dimensional discrete hyperchaotic systems and parallel compressive sensing
In this paper, a new two-dimensional discrete hyperchaotic system is proposed. Verification using the phase-track map, bifurcation map and Lyapunov...
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Deep learning for compressive sensing: a ubiquitous systems perspective
Compressive sensing (CS) is a mathematically elegant tool for reducing the sensor sampling rate, potentially bringing context-awareness to a wider...
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Image denoising using RANSAC and compressive sensing
Image denoising is a vital image processing phase aiming to improve the quality of images and to make them more informative. In this paper, we...
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Deep Memory-Augmented Proximal Unrolling Network for Compressive Sensing
Map** a truncated optimization method into a deep neural network, deep proximal unrolling network has attracted attention in compressive sensing...
