Combining Mexican hat wavelet and spread spectrum for adaptive watermarking and its statistical detection using medical images

Chauhan, Digvijay Singh; Singh, Amit Kumar; Adarsh, Abhinav; Kumar, Basant; Saini, J. P.

doi:10.1007/s11042-017-5348-8

Cited by 27 publications

(12 citation statements)

References 29 publications

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“…Chauhan et al [34] presented a spread-spectrum-based medical watermarking technique where the Mexican wavelet is used, and the binary watermark is concealed in vertical and horizontal sub-bands using a pseudo-noise (PN) sequence pair. This method has been evaluated for different attacks and is compatible with existing methodologies.…”

Section: Integer Wavelet Transformmentioning

confidence: 99%

A Review: Reversible Information Hiding and Bio-Inspired Optimization

Kapadia

Nithyanandam

2021

Artificial Intelligence and Technologies

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Data security and secure communication are a top priority in an age of digital communication, where new technologies are emerging daily. Information sharing using digital means with increased availability of the Internet has made it easy and effortless. However, data protection and security are an ongoing challenge as information sharing takes place over unsecured networks.Information hiding is also known as data hiding and it can be broadly put across with the varied implications: First, secret information is imperceptible. Secondly, the presence of information is concealed. Third, the recipient and sender details are hidden, and fourth, the transmission channel is hidden [1]. Thus, hiding information is a process in which secret information is hidden in such a way that its existence is not known and thus does not attract the attention of the attackers.Information hiding is used in applications such as legal, medical and law enforcement military, intelligence agencies, online elections, internet banking, artwork preservation, law enforcement, satellite imagery, and remote sensing.Information hiding has different branches and is primarily categorized as steganography, copyright marketing, covert channel, subliminal channel, and anonymous communication [1]. Information hiding is applied to text, audio, video, and digital images.Information hiding techniques for digital images are classified into four categories [1], steganography for covert communication, robust watermarking for copyright protection, fragile watermarking for content authentication and finger-

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Section: Integer Wavelet Transformmentioning

confidence: 99%

A Review: Reversible Information Hiding and Bio-Inspired Optimization

Kapadia

Nithyanandam

2021

Artificial Intelligence and Technologies

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“…In [29] a medical image watermark technique using wavelet transform and applying spread-spectrum concept was proposed. They use a binary image as watermark (50×9).…”

Section: Comparison With Other Watermark Algorithmsmentioning

confidence: 99%

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

Escalante-Ramı́rez

Gomez-Coronel

2018

Mathematical Problems in Engineering

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This work presents a watermarking technique in digital images using a brightness model and the Hermite Transform (HT). The HT is an image representation model that incorporates important properties of the Human Vision System (HVS), such as the analysis of local orientation, and the model of Gaussian derivatives of early vision. The proposed watermarking scheme is based on a perceptive model that takes advantage of the masking characteristics of the HVS, thus allowing the generation of a watermark that cannot be detected by a human observer. The mask is constructed using a brightness model that exploits the limited sensibility of the human visual system for noise detection in areas of high or low brightness. Experimental results show the imperceptibility of the watermark and the fact that the proposed algorithm is robust to most common processing attacks. For the case of geometric distortions, an image normalization stage is carried out prior to the watermarking.

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“…For embedding if the message to be embedded is 1 then peak point is increased by 1 and no change is made for zero bit. Chauhan et al (2017a) proposed a spread spectrum-based medical watermarking technique where Mexican wavelet is used and using pseudo-noise (PN) sequence pair the binary watermark is hidden in vertical and horizontal sub-bands. This method was evaluated for different attacks and is robust to existing methodologies.…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding methods in integer wavelet transform

Kapadia

Nithyanandam

2020

IJICS

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Reversible data hiding is art of concealing secret information such that cover media and secret information are both recovered without any information loss. In this paper high frequency sub-bands of integer wavelet transform are used for data embedding. All coefficients are used for embedding and to improve the security the embedding is carried out in frequency domain using spiral, sequential and random embedding method. The main objective of this research is to hide the maximum data with minimal distortion and to attain reversible hiding phenomenon both in cover and secret image. The experimental result shows the improved capacity, imperceptibility and complete reversibility attained on standard and medical images. The parameter of robustness has not been vastly studied for reversible data hiding and an attempt is made to check the same for basic attacks and results shows that it can withstand geometrical attack.

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Combining Mexican hat wavelet and spread spectrum for adaptive watermarking and its statistical detection using medical images

Cited by 27 publications

References 29 publications

A Review: Reversible Information Hiding and Bio-Inspired Optimization

A Review: Reversible Information Hiding and Bio-Inspired Optimization

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

Reversible data hiding methods in integer wavelet transform

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