title: Wavelet-based color pathological image watermark through dynamically adjusting the embedding intensity.
abstract: This paper proposes a new dynamic and robust blind watermarking scheme for color pathological image based on discrete wavelet transform (DWT). The binary watermark image is preprocessed before embedding; firstly it is scrambled by Arnold cat map and then encrypted by pseudorandom sequence generated by robust chaotic map. The host image is divided into n × n blocks, and the encrypted watermark is embedded into the higher frequency domain of 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.
authors.affiliation: Department of Dermatology, Affiliated Hospital of Weifang Medical University, Weifang 261031, China.
authors.forename: Guoyan
authors.initials: G
authors.lastname: Liu
authors.forename: Hongjun
authors.initials: H
authors.lastname: Liu
authors.forename: Abdurahman
authors.initials: A
authors.lastname: Kadir
mesh_terms: D000465:Algorithms; D003116:Color; D003196:Computer Graphics; D016494:Computer Security; D003309:Copyright; D044962:Data Compression / Q000379:methods; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D014785:Vision, Ocular; D058067:Wavelet Analysis