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Proceedings Paper

2D image compression using concurrent wavelet transform
Author(s): Kamrul Hasan Talukder; Koichi Harada
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Paper Abstract

In the recent years wavelet transform (WT) has been widely used for image compression. As WT is a sequential process, much time is required to transform data. Here a new approach has been presented where the transformation process is executed concurrently. As a result the procedure runs first and the time of transformation is reduced. Multiple threads are used for row and column transformation and the communication among threads has been managed effectively. Thus, the transformation time has been reduced significantly. The proposed system provides better compression ratio and PSNR value with lower time complexity.

Paper Details

Date Published: 30 September 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828512 (30 September 2011); doi: 10.1117/12.913386
Show Author Affiliations
Kamrul Hasan Talukder, Hiroshima Univ. (Japan)
Koichi Harada, Hiroshima Univ. (Japan)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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