Affiliations: [a] Department of Mechanical Engineering, Kagoshima
University, 1-21-40, Korimoto, Kagoshima 890-0065, Japan. Tel.: +81 99 285
8252; Fax: +81 99 250 3181; E-mail: li@mech.kagoshima-u.ac.jp
| [b] Department of Mechanical Engineering, Nihon
University, 1-8-14, Kanda Surugadai, Chiyoda-ku, Tokyo 101, Japan. Tel.: +81 3
3259 0749; Fax: +81 3 3293 8254; E-mail: takei@mech.cst.nihon-u.ac.jp
| [c] Department of Electrical & Electonic Engineering,
Hosei University, 3-7-2, Kajino, Koganei, Tokyo 184, Japan. Tel.: +81 42 387
6200; Fax: +81 42 387 6200; Email: ysaitoh@ysaitoh.k.hosei.ac.jp
| [d] Shirayuri Women's College 1-25, Modorigaoka,
Chofu-shi, Tokyo 182, Japan. Tel.: +81 3 3326 7604; Fax: +81 3 3793 7461;
E-mail: khorii@shirayuri.ac.jp
Abstract: Our motive of this study is to develop an application of the wavelet
packet to PIV image compression processing in order to improve the spatial
resolution and reliability furthermore. It was found that the reconstructed PIV
image with a lower compression ratio might emphasize particle edges at a
relatively high spatial resolution. The reconstructed PIV image with a higher
compression ratio may display the large-scale motion of particles and may
deduce noisy. In this study, the relative error of the wavelet packet image
compression technique was lower than that of the standard wavelet image
compression technique. The higher compression ratio of 64:1 can be realized
without losing significant flow information in PIV processing. It could say
that the wavelet packet could provide a better compression performance than the
standard wavelet image compression technique when compressing PIV images.
