High-Throughput Lossy-to-Lossless 3D Image Compression
Autor: | Rossinelli, Diego, Fourestey, Gilles, Schmidt, Felix, Busse, Bjorn, Kurtcuoglu, Vartan |
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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 |
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