This paper contains an analysis of several common compression algorithms (vector quantization or VQ, JPEG, and EPIC), together with BLAST, to determine compression ratio, information loss, and computational efficiency achievable on a database of UW imagery. Information loss is derived from the modulation transfer function (MTF), as well as several measures of spatial complexity that have been reported in the literature.
One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This manuscript is an author version and may be cited as: Schmalz, M. S., Ritter, G. X., & Caimi, F. M. (1997). Performance analysis of compression algorithms for noisy multispectral underwater images of small targets. In A. C. Dubey, & R. L. Barnard (Eds.), Detection and remediation technologies for mines and minelike targets II: April 21 - 24, 1997, Orlando, Florida. Proceedings of the SPIE, 3079 (pp. 191-202). Bellingham, WA, USA. doi:10.1117/12.280852
Florida Atlantic University. Harbor Branch Oceanographic Institute contribution #1194.