Hybrid Data Compression and Restoration Method ID: 2013-042
A novel method for efficient data compression and restoration, designed for large data sets from simulations and experiments.
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Technology Overview
This technology presents a hybrid approach to data compression, leveraging a combination of proper orthogonal decomposition (POD) and image compression techniques like JPEG. It is tailored for irregularly shaped data sets, offering significant reductions in storage and transmission resources while allowing users to specify desired compression size and accuracy. This method is particularly beneficial for high-fidelity numerical simulations and experimental studies.
Key Advantages
- High compression ratios, reducing storage and transmission requirements
- Flexibility in specifying compression size and accuracy
- Applicability to irregularly shaped data sets, enhancing its utility in various scientific fields
- Combination of multiple compression algorithms for optimized performance
Problems Addressed
- Excessive storage and transmission resources required for large data sets
- Lack of flexibility in existing compression methods for irregular data shapes and sizes
- Inefficiencies in handling high-fidelity numerical simulations and experimental data
Market Applications
- Data processing services for scientific research and experimentation
- Computational fluid dynamics simulations and analysis
- Optical measurement and imaging industries
- Cloud storage and data transmission services
Additional Information
Technology ID: 2013-042
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Date Published: 13 May, 2025
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