Compressed sensing transformer unfolding network for high resolution image denoising by Jie Zhang, Wenxiao Huang, Miaoxin Lu, Linwei Li, Yongpeng Shen, Yanfeng Wang, Jinsong Du

“…Abstract In recent years, compressive sensing (CS) theory has garnered significant attention due to its advantages in high-resolution image processing. …”
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A Novel Multi-Level Constellation Compression Modulation for GFDM-PON by Lei Jiang, Bo Liu, Yaya Mao, Xiangyu Wu, Jianxin Ren, Xing Xu, Shun Han, Jianye Zhao, Lilong Zhao, Tingting Sun, Lijia Zhang

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Multiple-Image Encryption Based on Compressive Ghost Imaging and Coordinate Sampling by Xianye Li, Xiangfeng Meng, Xiulun Yang, Yongkai Yin, Yurong Wang, Xiang Peng, Wenqi He, Guoyan Dong, Hongyi Chen

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A Flexible Model Compression and Resource Allocation Scheme for Federated Learning by Yiwen Hu, Tingting Liu, Chenyang Yang, Yuanfang Huang, Shiqiang Suo

“…The proposed scheme can assign adaptive compression levels and communication resources to each client in each round. …”
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Compressed Adaptive-Sampling-Rate Image Sensing Based on Overcomplete Dictionary by Jianming Wang, Dingpeng Li, Qingqing Yang, Yi Peng

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Splitting Matching Pursuit Method for Reconstructing Sparse Signal in Compressed Sensing by Liu Jing, Han ChongZhao, Yao XiangHua, Lian Feng

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An encryption by using DNA algorithm for hiding a compressed message in Image by Qusay Alsaffar

“…Although developing these technologies hackers has established new methods to hack confidential information. To overcome these challenges, we proposed algorithm that encrypts a message by using DNA encryption algorithm, then multiply the output by a factor then compress the multiplying message by using GZIP algorithm, the last stage is hiding a compressed message in (LSB) image pixels. …”
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition by Jeong-Il Byeon, Wookyung Lee, Jihoon Choi

“…The proposed CS-based modified LRSD (CS-MLRSD) method uses 2D random sampling for SAR raw data compression and then employs the dual-tree complex wavelet transform (DCWT) instead of singular value decomposition to more accurately reconstruct directional information in the low-rank background image. …”
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Image Super-Resolution via Adaptive Regularization Term of Compressed Sensing by Yintao Liu, Chao Ren, Hongjuan Shao, Qirui Liu, Yan Zhang

“…Compressed sensing theory is widely used to accurately reconstruct the original signal from a small number of random observations, i.e., obtain high-dimensional information from low-dimensional information. …”
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Reduced-Dimensional Capture of High-Dynamic Range Images with Compressive Sensing by Shundao Xie, Wenfang Wu, Rongjun Chen, Hong-Zhou Tan

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Improved method of non-intrusive load monitoring based on compressed sensing by Bo Yuan, Hong Liu, Shaoyun Ge, Guoping Liu

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A Multiresolution Image Completion Algorithm for Compressing Digital Color Images by R. Gomathi, A. Vincent Antony Kumar

“…At the same time, edges are extracted from the input image and they are passed to the decoder in the compressed manner. The edges which are transmitted to decoder act as assistant information and they help inpainting process fill the missing regions at the decoder. …”
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Multiband CCD Image Compression for Space Camera with Large Field of View by Jin Li, Fei Xing, Ting Sun, Zheng You

“…Space multiband CCD camera compression encoder requires low-complexity, high-robustness, and high-performance because of its captured images information being very precious and also because it is usually working on the satellite where the resources, such as power, memory, and processing capacity, are limited. …”
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A Two-Stage Compression Method for the Fault Detection of Roller Bearings by Huaqing Wang, Yanliang Ke, Ganggang Luo, Lingyang Li, Gang Tang

“…First, a sliding window is utilized to divide the original signals into several segments and a selected symptom parameter is employed to represent each segment, through which a symptom parameter wave can be obtained and the raw vibration signals are compressed to a certain level with the faulty information remaining. …”
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Evolution of compressed sensing theory and dynamic electric energy measurement method by WU Wenqian, WANG Xuewei

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Combined DWT and DCT Image Compression Using Sliding RLE Technique by Baghdad Science Journal

“…The approximate coefficients were coded using DCT, since DCT has superior compression performance when image information has poor power concentration in high frequency areas. …”
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Supraharmonics monitoring based on VSSESP-DBP dynamic compressed sensing algorithm by Chao Yan, Hongtao Shen, Jie Yu, Peng Tao, Hongxi Wang, Ting Yang

“…The study leverages the sparsity of superharmonic signals within the time window and proves the applicability of compressed sensing theory for dynamic compressive sampling. …”
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Recent Advancements in Hyperspectral Image Reconstruction from a Compressive Measurement by Xian-Hua Han, Jian Wang, Huiyan Jiang

“…Hyperspectral (HS) image reconstruction has become a pivotal research area in computational imaging, facilitating the recovery of high-resolution spectral information from compressive snapshot measurements. …”
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Adaptive temporal compression for reduction of computational complexity in human behavior recognition by Haixin Huang, Yuyao Wang, Mingqi Cai, Ruipeng Wang, Feng Wen, Xiaojie Hu

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Quick Compression and Transmission of Meteorological Big Data in Complicated Visualization Systems by He-Ping Yang, Ying-Rui Sun, Nan Chen, Xiao-Wei Jiang, Jing-Hua Chen, Ming Yang, Qi Wang, Zi-Mo Huo, Ming-Nong Feng

“…The sizes of individual data files have steadily increased along with rising demand for customized services, leading to issues such as low efficiency of web-based geographical information system (WebGIS)-based data compression, transmission, and rendering for rich Internet applications (RIAs) in complicated visualization systems. …”
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