Watermarking of hyperspectral data

Tamhankar, H.; Bruce, Lori; Younan, Nicolas H.

doi:10.1109/igarss.2003.1294858

Cited by 8 publications

(10 citation statements)

References 5 publications

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“…Some previous works have been selected and compared with the proposed method. All of them are blind-except Tamhankar et al (2003)-, semifragile and allow some level of compression. The selected method can be used for tampering detection, but not all of them report the tamper localization.…”

Section: Comparative Analysis With Other Watermarking Schemesmentioning

confidence: 99%

“…The scheme described by Sal and Graña (2008) can be used to detect tampering, but not the localization of manipulated signatures. Finally, although the scheme of Tamhankar et al (2003) works with the whole signature of a set of pixels, it does not provide information about tamper localization either. As the size of the tampering localization is concerned, (Qin et al, 2004;Ho et al, 2005;Caldelli et al, 2006) make it possible to identify smaller tampered areas compared to the proposed scheme, but those methods must be applied to each separate band and yield worse PSNR results.…”

Section: Comparative Analysis With Other Watermarking Schemesmentioning

confidence: 99%

“…Finally, Sal and Graña (2008) describe an evolutionary algorithm which marks an image based on the manipulation of the discrete cosine transform (DCT) computed for each band of the image. Tamhankar et al (2003) describe a method to embed one mark into the hyperspectral image using the whole signature, but it does not allow compression of the hyperspectral image. This adaptive watermarking method based on the redundant discrete wavelet transform (RDWT) is a fragile scheme.…”

Section: Introductionmentioning

confidence: 99%

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A novel semi-fragile forensic watermarking scheme for remote sensing images

Serra-Ruiz

Megías

2011

International Journal of Remote Sensing

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A semi-fragile watermarking scheme for multiple band images is presented. We propose to embed a mark into remote sensing images applying a tree structured vector quantization approach to the pixel signatures, instead of processing each band separately. The signature of the multispectral or hyperspectral image is used to embed the mark in it order to detect any significant modification of the original image. The image is segmented into threedimensional blocks and a tree structured vector quantizer is built for each block. These trees are manipulated using an iterative algorithm until the resulting block satisfies a required criterion which establishes the embedded mark. The method is shown to be able to preserve the mark under lossy compression (above a given threshold) but, at the same time, it detects possibly forged blocks and their position in the whole image.

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Section: Comparative Analysis With Other Watermarking Schemesmentioning

confidence: 99%

Section: Comparative Analysis With Other Watermarking Schemesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel semi-fragile forensic watermarking scheme for remote sensing images

Serra-Ruiz

Megías

2011

International Journal of Remote Sensing

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“…The exploration of semi-fragile watermarking based on the wavelet transform is reported in [14]. The watermarking of hyperspectral images performed on the redundant discrete wavelet transform of the pixel spectral signatures is proposed in [17]. The approach in [9] involves 3D wavelet transform and the watermark strength is controlled by perceptive experiments.…”

Section: Related Workmentioning

confidence: 99%

“…Some of the authors deal with conventional (grayscale) images [8,5,14], others with multispectral images (LANDSAT) [3,4] and some of them with hyperspectral images [10,17,9,18]. In [8] the watermark is applied on the coefficients of the image Hadamard transform.…”

Section: Related Workmentioning

confidence: 99%

A Multiobjective Evolutionary Algorithm for Hyperspectral Image Watermarking

Sal

Graña

Computational Intelligence for Remote Sensing

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Summary.With the increasing availability of internet access to remote sensing imagery, the concern with image authentication and ownership issues is growing in the remote sensing community. Watermarking techniques help to solve the problems raised by this issue. In this paper we elaborate on the proposition of an optimal placement of the watermark image in a hyperspectral image. We propose an evolutionary algorithm for the digital semi-fragile watermaking of hyperspectral images based on the manipulation of the image discrete cosine transform (DCT) computed for each band in the image. The algorithm searches for the optimal localization in the support of an image's DCT to place the mark image. The problem is stated as a multi-objective optimization problem (MOP), that involves the simultaneous minimization of distortion and robustness criteria. We propose appropriate fitness functions that implement these conflicting criteria, and that can be efficiently evaluated. The application of an evolutionary algorithm (MOGA) to the optimal watermarking hyperspectral images is presented. Given an appropriate initialization, the algorithm can perform the search for the optimal mark placement in the order of minutes, approaching real time application restrictions. IntroductionThe hyperspectral sensor performs a fine sampling of the surface radiance in the visible and near infrared wavelength spectrum. Therefore each image pixel may be interpreted as a high dimensional vector. We are interested in the watermarking of hyperspectral images because all the new remote sensor are designed to be hyperspectral. The fact that Internet is is becoming the primary mean of communication and transport of these images, may raise authentication and ownership issues in the near future.Watermarking is a technique for image authorship and content protection [21,1,15,16,20,22,13,23]. Semi-fragile watermarking [12,24] tries to ensure the image integrity, by means of an embedded watermark which can be recovered without modification if the image has not been manipulated. However, it is desirable that the watermark recovery is robust to operations like filtering, smoothing and lossy compression [19] which are very common while distributing The Spanish Ministerio de Educacion y Ciencia supports this work through grant

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