Watermarking scheme for tampering detection in remote sensing images using variable size tiling and DWT

In this paper, a semi-fragile watermarking scheme specifically developed for remote sensing images is presented. The method can be tuned to embed the mark depending on the content and the signature to be protected. The suggested method is based on tiling the original three-dimensional images into blocks of different sizes according to the relevance of the area to protect (bigger blocks are used for less relevant areas). For each of these blocks, the discrete Wavelet transform (DWT) is applied to each selected spectral band and the obtained LL DWT sub-bands are used to build a Tree-Structured Vector Quantization tree. This tree is then modified using an iterative algorithm until it satisfies some criterion. Once the target value is reached, the marked block is obtained using the new LL DWT sub-band together with the other original sub-bands (LH, HL and HH) of the block. A secret key produces a different criterion for each block in order to avoid copy-and-replace attacks. The use of the LL DWT sub-band for each spectral band makes it possible to obtain robustness against near-lossless compression attacks and, at the same time, relatively strong modifications are detected as tampering.

[1]  Nicholas H. Younan,et al.  Watermarking of hyperspectral data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[2]  Edward J. Delp,et al.  Detection of image alterations using semifragile watermarks , 2000, Electronic Imaging.

[3]  Anthony Tung Shuen Ho,et al.  A semi-fragile pinned sine transform watermarking system for content authentication of satellite images , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[4]  David Megías,et al.  A novel semi-fragile forensic watermarking scheme for remote sensing images , 2011 .

[5]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[6]  David Megías,et al.  Multiband semifragile watermarking for multi and hyperspectral images based on iterative tree structured vector quantization , 2006, SPIE Remote Sensing.

[7]  Julia Minguillon,et al.  Evaluation of copyright protection schemes for hyperspectral imaging , 2004, SPIE Remote Sensing.

[8]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[9]  Enrico Magli,et al.  Joint near-lossless watermarking and compression for the authentication of remote sensing images , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[10]  Dezhi Chen,et al.  Research of digital semi-fragile watermarking of remote sensing image based on wavelet analysis , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.