An efficient adaptive KLT for multispectral image compression

In the study, we present an efficient adaptive Karhunen-Loeve transform (KLT) algorithm for multispectral image compression. The proposed algorithm fully exploits the spectral and spatial correlation in the data. To adopt to the local terrain characteristics of multispectral images, the adaptive KLT algorithm can divide the original image into some proper regions, and transform each region image data set by the corresponding transformation function. Furthermore, the algorithm is suitable for hardware implementation. Simulation results show that the performance of the proposed adaptive KLT algorithm is better than those of the existing algorithms