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Item type:Publication, Wavelet-based watermarking of multispectral images(2003-12-01) ;Ladthawanidphan, ManaRangsanseri, YuttapongIn this paper, we propose a digital watermarking technique for remote sensing multispectral images. The watermark is added to the multispectral image through the Karhunen Loève Transform. A multi-stage discrete wavelet transform is applied to the most principal component image and a pseudo-random sequence with a normal distribution is embedded to all high frequency coefficients at above a level adaptive threshold. The experimental result shows that the embedded watermark is robust against various signal processing and compression attack. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hiding confidential signature into digital images via frequency domain(2001-12-01) ;Thitimajshima, Punya ;Thitimajshima, YutthapongRangsanseri, YuttapongIn this paper, we describe a technique for hiding a confidential signature into digital image, or referred as digital watermarking. The embedded signature, or watermark, is usually a recognizable pattern like a logo of a company. Our technique is applied to the frequency domain of the image, obtained by two dimensional Fourier transform. The watermark is embedded into the magnitude coefficients. This technique does not require original image to recover the embedded signature.
