JParEnt: Parallel entropy decoding for JPEG decompression on heterogeneous multicore architectures.
Wasuwee SodsongMinyoung JungJinwoo ParkBernd BurgstallerPublished in: Concurr. Comput. Pract. Exp. (2017)
Keyphrases
- image compression
- compression algorithm
- compressed images
- compression ratio
- image transmission
- shared memory
- multicore processors
- compressed domain
- decoding process
- parallel programming
- multi core processors
- data compression
- compression scheme
- lossless coding
- parallel architectures
- huffman coding
- level parallelism
- parallel processing
- image coding
- information theoretic
- parallel algorithm
- parallel execution
- parallel computers
- heterogeneous environments
- message passing
- parallel computation
- high compression ratio
- joint source channel
- coding method
- cell processor
- visual quality
- pattern matching
- wavelet transform
- high end
- memory management
- jpeg images
- multiresolution
- massively parallel
- reconstructed image
- low complexity
- motion vectors
- low density parity check
- computer systems