Journal of Flow Visualization and Image Processing

ISSN for PRINT: 1065-3090

For Online Access

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2000, Volume7

Issue 2

102 pages

Issue price - $140.00

H. Stuer
Institute of Hydromechanics&Water Resources Management, Swiss Federal Institute of Technology, CH-8093 Zurich,Switzerland; GALCIT,California Institute of Technology,1201 California Blvd., MSC 301-46, Pasadena, CA 91125

J. Willneff
Institute of Geodesy and Photogrammetry, Swiss Federal Institute of Technology, CH-8093 Zurich, Switzerland

H.-G. Maas
Faculty of Civil Engineering&Geosciences,Section of Photogrammetry&Remote Sensing,Delft University of Technology,2629JA Delft,The Netherlands;Institute of Photogrammetry&Remote Sensing,Dresden University of Technology, Dresden,Germany

The evaluation of the suitability of image compression techniques to particle tracking velocimetry (PTV) images is motivated by a conflict between the bandwidth of data transfer and storage systems and the requirements for spatial and temporal resolution of PTV data. In this article the possibilities of lossless compression techniques are outlined and the influence of lossy JPEG and Wavelet algorithm to three-dimensional (3D) PTV particle images is displayed. These PTV images are products of a real experiment where a sequence of 50 time steps was used to derive statistics. It is shown that Joint Photographic Expert Group (JPEG) and Wavelet compression techniques have almost the same impact on particle images; both techniques can be used up to a compression ratio of 10 to 20 at a tolerable loss of data quality. For the lossless case, a compression ratio of 5 can be reached in combination with image preprocessing.

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