A hybrid wavelet compression scheme for material textures

2002 ◽  
Author(s):  
D. Ramasubramanian ◽  
L.N. Kanal ◽  
J. Moulton ◽  
W. Journigan
Keyword(s):  
Compression Scheme ◽  
Wavelet Compression

Implementation aspects of FIR filtering in a Wavelet Compression Scheme

1996 ◽  
pp. 521-524 ◽  
Author(s):  
G. Lafruit ◽  
B. Vanhoof ◽  
J. Bormans ◽  
M. Engels ◽  
I. Bolsens
Keyword(s):  
Compression Scheme ◽  
Wavelet Compression ◽  
Fir Filtering ◽  
Implementation Aspects

A Test Data Compression Scheme Based on Mixed Fixed and Variable Length Coding

2009 ◽  
Vol 31 (10) ◽  
pp. 1826-1834 ◽  
Author(s):  
Wen-Fa ZHAN ◽  
Hua-Guo LIANG ◽  
Feng SHI ◽  
Zheng-Feng HUANG
Keyword(s):  
Data Compression ◽  
Test Data ◽  
Variable Length ◽  
Test Data Compression ◽  
Compression Scheme ◽  
Variable Length Coding

A novel joint data-hiding and compression scheme based on SMVQ and image inpainting

2020 ◽  
Author(s):  
S. Poonguzhali ◽  
Avinash Sharma ◽  
V. Vedanarayanan ◽  
A. Aranganathan ◽  
T. Gomathi ◽  
...  
Keyword(s):  
Data Hiding ◽  
Image Inpainting ◽  
Compression Scheme

scholarly journals A data reduction and compression description for high throughput time-resolved electron microscopy

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Abhik Datta ◽  
Kian Fong Ng ◽  
Deepan Balakrishnan ◽  
Melissa Ding ◽  
See Wee Chee ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Temporal Resolution ◽  
Data Reduction ◽  
Accurate Estimation ◽  
Data Streaming ◽  
Compression Scheme ◽  
Raw Data ◽  
Time Resolved ◽  
Detection And Counting ◽  
Spatio Temporal

AbstractFast, direct electron detectors have significantly improved the spatio-temporal resolution of electron microscopy movies. Preserving both spatial and temporal resolution in extended observations, however, requires storing prohibitively large amounts of data. Here, we describe an efficient and flexible data reduction and compression scheme (ReCoDe) that retains both spatial and temporal resolution by preserving individual electron events. Running ReCoDe on a workstation we demonstrate on-the-fly reduction and compression of raw data streaming off a detector at 3 GB/s, for hours of uninterrupted data collection. The output was 100-fold smaller than the raw data and saved directly onto network-attached storage drives over a 10 GbE connection. We discuss calibration techniques that support electron detection and counting (e.g., estimate electron backscattering rates, false positive rates, and data compressibility), and novel data analysis methods enabled by ReCoDe (e.g., recalibration of data post acquisition, and accurate estimation of coincidence loss).

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