2012 · 23 citations · 8 references
Lossy CompressionEngineeringComputer ArchitectureParallel GpgpuAvailable ParallelismNew CcsdsGpu ComputingImage CompressionComputational ImagingParallel ComputingLossless CompressionComputer EngineeringComputer ScienceProcessor SystemsConsultative CommitteeGpu ArchitectureHardware AccelerationImage CodingParallel Programming
The new CCSDS (Consultative Committee for Space Data Systems) Lossless Multispecral&Hyperspectral Image Compression Standard was designed to facilitate a fast hardware implementation. This paper analyses that algorithm with regard to available parallelism and describes fast parallel implementations in software for GPGPU and Multicore CPU architectures. We show that careful software implementation, using hardware acceleration in the form of GPGPUs or even just multicore processors, can exceed the performance of existing hardware and software implementations by up to 11× and break the real-time barrier for the first time for a typical test application.
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Solomon W. Golomb · IEEE Transactions on Information Theory · 1966 · 676 citations
Nicholas M. Short · Online Journal of Space Communication · 2003 · 50 citations
Selecting the Golomb Parameter in Rice Coding
Aaron Kiely · 2004 · 37 citations