The theory of compressed sensing (or compressive sampling, CS for short) indicates if a signal is sparse or compressible in a certain transform domain, the transformed higher-dimensional signal can be projected
Compressed sensing provides the possibility of efficient compression of massive hyperspectral data. However, the existing methods often use the organization pattern of image blocks in sparse representation, and cannot make full use of inter spectral correlation. The separate retrieval of dictionary and ...
While using chunked encoding compression and indexing sensing technology, the retrieval system could adapt to adjust the storing method and block form of index structure, which can greatly reduce its server requirements and improve the retrieval efficiency. Compressed sensing inverted index structure, ...
Pressure sensors still face the challenge of combining high sensitivity with a wide detection range. In this study, we designed a tension–compression conversion structure and combined it with a variable stiffness design strategy to fabricate pressure-sensing devices. The structure can convert the sensi...
Sparsity assumption is the basis of compressed sensing. It has a crucial role in our proposed method of image encryption. The goal of compressed sensing is to recover an unknown sparse signal\({\mathbf{s}} \in R^{m}\)from a set of underdetermined measurements\({\mathbf{y}} = {\mathbf...
Multi-Image Compression–Encryption Algorithm Based on Compressed Sensing and Optical Encryption Jingjing Wei, Miao Zhang, X. Tong 2022 Towards secured image steganography based on content-adaptive adversarial perturbation Vip...
Web enabled paddy disease detection using Compressed Sensing. Mathematical Biosciences and Engineering, 2019, 16(6): 7719-7733. doi: 10.3934/mbe.2019387 [6] Guozheng Yang, Lintao Liu, Xuehu Yan . A compressed secret image sharing method with shadow image verification capability. Mathematical ...
Noise stress (σT) can be ignored in all-silicon sensors with two identical resonators sensing both pressure and temperature. The relationship between linearity and the full-scale frequency variation was analyzed, as shown in Supplementary Fig. S1. When the frequency variation is approximately 10%...
The proposed scheme can simultaneously encrypt and compress the medical image using compressive sensing (CS) and pixel swapping based permutation approach. In the CS phase, the plain image is compressed and encrypted by chaos-based Bernoulli measurement matrix, which is generated under the control of...
Thus, if we apply this to each sensor stream Xi associated with each subset Pi of the partition, we obtain c=O(1) compressed streams, each of which can be represented using no more bits than an optimum encoding of the entire system. The complete compression algorithm is presented in Fig....