Comparison of bit allocation methods for compressing three-dimensional meteorological data after applying KLT
A. Lucero, Sergio D. Cabrera, Alberto Antonio Agudelo Aguirre, Miguel Argáez, E. Vidal · 2004
This paper presents the latest results of an ongoing project to assess the impact of lossy compression applied to three-dimensional meteorological data. The main innovative outcomes presented are based on different bit allocation techniques used to compress Karhunen-Loeve transformed data. The transform is applied in the z-direction (between slices) as suggested in the JPEG2000 Part 2 standard. New results using these bit allocation techniques are presented on two data sets. The performance results are presented in terms of SNR, root-mean squared error (RMSE), and the maximum absolute error (MAE) for the entire cube of data.