Title :
Compression of bathymetric data using wavelets
Author :
Singh, Inderjit ; Agathoklis, P. ; Antoniou, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Abstract :
The compression of bathymetric data using three different types of wavelet transforms as well as the discrete cosine transform (DCT) is considered. The various compression schemes are then compared with respect to the compression ratios achieved, computational complexity, and accuracy of reproduction. The results indicate that the wavelet transforms can yield higher compression ratios than the DCT. Further, these transforms offer reduced computational complexity relative to the DCT
Keywords :
bathymetry; computational complexity; data compression; discrete cosine transforms; geophysical signal processing; oceanographic techniques; wavelet transforms; accuracy; bathymetric data; compression; compression ratios; computational complexity; discrete cosine transform; wavelets; Computational complexity; Data compression; Discrete cosine transforms; Discrete transforms; Reconstruction algorithms; Refractive index; Signal generators; Signal resolution; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.520445
