JPEG2000 image compression method based on GPGPU

摘要：

　　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.

关键词： JPEG2000 DWT GPGPU parallel computing CUDA

作者: Wang Weiling

作者单位: School of Science, Changchun Institute of Technology Changchun, 130012, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 263-266

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）