Reversible Data Hiding for Multispectral Image with High Radiometric Resolution

This paper presents a reversible data hiding algorithm based on integer transform for high radiometric resolution multispectral images which have gradually been the main data source of spatial geographic information. Focusing on the characteristic of high radiometric resolution multispectral images, Reversible Karhunen-Loêve transform (RKLT) followed by integer wavelet transform (IWT) is applied to host images. Secret messages are embedded by a multilevel histogram modification technique in the transform domain. The Triangular Elementary Reversible Matrixes (TERM) are also embedded as secret messages into the input image which guarantees the host image can be perfectly restored after the embedded data extracted. Experimental results on multispectral images obtained from Quick Bird show that the proposed method has better visual quality and higher hiding capacity than the representative methods.