Since a variety of applications utilize the multispectral data, the data cannot be compressed
with lossy methods. In this paper, we propose the combination of two reversible methods for
the lossless compression of the multispectral images: first, principal component analysis is
applied to the spectra of the image and then, the integer wavelet transform is applied to the
residual image to further concentrate the energy and reduce the entropy. The coding quality …