High-Throughput Lossy-to-Lossless 3D Image Compression

Autor: Rossinelli, Diego, Fourestey, Gilles, Schmidt, Felix, Busse, Bjorn, Kurtcuoglu, Vartan
Přispěvatelé: University of Zurich, Rossinelli, Diego
Předmět:
bandwidth
Computer science
Multiresolution analysis
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
610 Medicine & health
Data_CODINGANDINFORMATIONTHEORY
Lossy compression
10052 Institute of Physiology
030218 nuclear medicine & medical imaging
multiresolution analysis
03 medical and health sciences
0302 clinical medicine
Image Processing
Computer-Assisted

1706 Computer Science Applications
Electronic engineering
Codec
Electrical and Electronic Engineering
image coding
3614 Radiological and Ultrasound Technology
throughput
integration of multiscale information
Lossless compression
Microscopy
Radiological and Ultrasound Technology
parallel computing
2208 Electrical and Electronic Engineering
Wavelet transform
computer.file_format
Data Compression
image compression
Computer Science Applications
1712 Software
wavelet transforms
three-dimensional displays
codecs
JPEG 2000
570 Life sciences
biology
computer
Software
Data compression
Popis: The rapid increase in medical and biomedical image acquisition rates has opened up new avenues for image analysis, but has also introduced formidable challenges. This is evident, for example, in selective plane illumination microscopy where acquisition rates of about 1-4 GB/s sustained over several days have redefined the scale of I/O bandwidth required by image analysis tools. Although the effective bandwidth could, principally, be increased by lossy-to-lossless data compression, this is of limited value in practice due to the high computational demand of current schemes such as JPEG2000 that reach compression throughput of one order of magnitude below that of image acquisition. Here we present a novel lossy-to-lossless data compression scheme with a compression throughput well above 4 GB/s and compression rates and rate-distortion curves competitive with those achieved by JPEG2000 and JP3D.
Databáze: OpenAIRE