A Multi-Party Secure Encryption-Sharing Hybrid Scheme for Image Data Base on Compressed Sensing

2022 ◽  
pp. 103391
Author(s):  
Bin Wu ◽  
Dong Xie ◽  
Fulong Chen ◽  
Xueli Wang ◽  
Yangyang Zeng
Keyword(s):  
Compressed Sensing ◽  
Data Base ◽  
Image Data ◽  
Hybrid Scheme

scholarly journals Archiving and retrieval of data from the International Ultraviolet Explorer (IUE) mission

1982 ◽  
Vol 64 ◽  
pp. 115-117
Author(s):  
W. H. Warren ◽  
D. F. Alderman
Keyword(s):  
Data Base ◽  
Data Storage ◽  
Retrieval System ◽  
Data Entry ◽  
Image Data ◽  
Storage Space ◽  
Automatic Data ◽  
Data Entry System ◽  
International Ultraviolet Explorer ◽  
Time Limitations

AbstractThe data base of IUE spectra available for dissemination to the scientific community presently contains approximately 22,000 separate images. Due to storage space and computer processing time limitations, it was decided to store the data on high density (6250 bpi) specially formatted tapes and to retrieve and reconvert them to the originally supplied format upon request. The archival/retrieval system for the data and an automatic data entry system for creation and maintenance of an indexing data base are described. Suggestions are made for the use of standard formats for future image data storage, retrieval and dissemination.

A Simple Deterministic 0-1 Measurement Matrix for Robotic Embedded Vision Compressed Sensing

2013 ◽  
Vol 433-435 ◽  
pp. 257-260
Author(s):  
Ji Zhong Liu ◽  
Ru Yuan Ma ◽  
Yuan Bin Mo ◽  
Ming Liang Jin
Keyword(s):  
Compressed Sensing ◽  
Processing Speed ◽  
Vision System ◽  
Image Data ◽  
Measurement Matrix ◽  
Embedded Vision ◽  
Sensing Technology ◽  
Embedded Vision System ◽  
And Performance ◽  
Reconstruction Time

Embedded environmental vision is a key issue for robotics. However, the image data is large, which usually will seriously affect the system processing speed and performance. Aiming at the feasibility and the real-time performance of robotic embedded vision system, by combining the up-to-date compressed sensing technology, a novel wavelet sparsity based simple deterministic 0-1 measurement matrix (0-1SDMM) is designed. The simulation results in matlab environment show that the 0-1SDMM has better performance than traditional Gaussian matrix in reconstruction result and reconstruction time. It provides an important reference for the future robotic embedded vision system.

Computer Documentation: Presentation and Image Data Base Systems

1995 ◽  
Vol 112 (5) ◽  
pp. P170-P170
Author(s):  
Arnold Komisar ◽  
Andrew Blitzer ◽  
Yosef Krespi ◽  
Robert Kane
Keyword(s):  
Data Base ◽  
Image Data ◽  
Educational Objective

Educational objective: To understand the use of image data base and computer-generated presentations.

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