标题:All phase biorthogonal transform based on GPU
作者:Shan, Rongyang ;Wang, Chengyou ;Zhou, Xiao ;Wang, Liping
作者机构:[Shan, Rongyang ;Wang, Chengyou ;Zhou, Xiao ;Wang, Liping ] School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, 更多
通讯作者:Wang, Chengyou
来源:International Journal of Multimedia and Ubiquitous Engineering
出版年:2015
卷:10
期:7
页码:295-304
DOI:10.14257/ijmue.2015.10.7.31
关键词:All phase biorthogonal transform (APBT); Discrete cosine transform (DCT); GPU; Parallel computing
摘要:In this paper, all phase biorthogonal transform (APBT) based on parallel algorithm is proposed. It can solve two problems. First, block-based DCT transform coding has serious blocking artifacts when the image is highly compressed at low bit rate. Second, APBT can solve the problem about blocking artifacts, but it does not have a fast algorithm, it has a low efficiency when APBT applies to image processing. So APBT based on parallel algorithm can solve the above problems, and it provides more space for improving the processing speed of APBT. We use the CUDA toolkit based on GPU which is released by NVIDIA to design the parallel algorithm of APBT. Experimental results show that the maximum speedup ratio of parallel algorithm of APBT can reach more than 40 times with a very low version GPU, compared with conventional serial APBT. And the reconstructed image using the proposed algorithm has the same performance with the serial one in terms of objective quality and subjective effect. The proposed parallel algorithm based on GPU of APBT also can be used in image compression, video compression, the edge detection, and some other fields of image processing. © 2015 SERSC.
收录类别:EI;SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938564623&doi=10.14257%2fijmue.2015.10.7.31&partnerID=40&md5=2cd9e9ed9b2fb480d6de86b9d035234c
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