Wavelet-based color pathological image watermark through dynamically adjusting the embedding intensity
type: Item
instance of: scholarly article
title: Wavelet-based color pathological image watermark through dynamically adjusting the embedding intensity
zbMATH Open document ID: 1261.92031
DOI: 10.1155/2012/406349
author: Guoyan Liu
author: Hongjun Liu
author: Abdurahman Kadir
published in: Computational \& Mathematical Methods in Medicine
publication date: 2013-01-09T00:00:00Z
review text: Summary: This paper proposes a new dynamic and robust blind watermarking scheme for color pathological images based on discrete wavelet transforms (DWTs). The binary watermark image is preprocessed before embedding; firstly it is scrambled by an Arnold cat map and then encrypted by pseudorandom sequence generated by a robust chaotic map. The host image is divided into \(n \times n\) blocks, and the encrypted watermark is embedded into the higher frequency domain of the blue component. The mean and variance of the subbands are calculated, to dynamically modify the wavelet coefficient of a block according to the embedded 0 or 1, so as to generate the detection threshold. We research the relationship between embedding intensity and threshold and give the effective range of the threshold to extract the watermark. Experimental results show that the scheme can resist against common distortions, especially getting advantage over JPEG compression, additive noise, brightening, rotation, and cropping.
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 65T60
zbMATH DE Number: 6123545
Wikidata QID: Q41786076
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/406349
OpenAlex ID: W2083925896
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description: scientific article; zbMATH DE number 6123545