JPEG2000 Image Compression Method Based on GPGPU

Abstract:

In order to improve the compression speed of JPEG2000, the JPEG2000 compression standard is analysised and it concluded that the part data of the core algorithm that is DWT in JPEG2000 are independent from each other, so it is very suitable for parallel processing. CUDA (Compute Unified Device Architecture) is a latest software and hardware exploitation platform released by NVIDIA which is very suitable for large-scale data parallel computing.Using CUDA technology on general purpose graphic process unit (GPGPU) could speed up DWT algorithm parallelly and the program is optimized based on the characteristics of GPGPU storage space. The obtained experimental results show the DWT algorithm that is optimized by CUDA parallelly can improve the computing speed.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 1314-1319
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.1314
• Online since: September 2013
• Authors: Wei Ling Wang
• Keywords: CUDA, Discrete Wavelet Transform (DWT), GPGPU, JPEG2000, Parallel Computing

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