Digital watermarking of spectral images in PCA/wavelet-transform domain

Digital imaging continues its triumphal march especially in geoscience and remote sensing. Digital information can be easily processed, manipulated and copied. Thus, the need for document ownership verification arises. In this study, we propose a watermarking method for spectral images. The watermark is embedded in a transform domain of the spectral image. The transform is based on the principal component analysis and on the wavelet transform. With the inverse transforms the watermarked spectral image is reconstructed. The experiments indicate that the watermark is robust against attacks in lossy compression but more sensitive against mean filtering.