An Innovative Approach for Data Recovery Using Robust Reversible Watermarking

Kamble, Priyanka; Raut, Neha S.; Raut, Apurva; Naik, Sunita

doi:10.1109/icoei.2019.8862530

Cited by 3 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it is a little complex, time-consuming, and generally robust. Kamble et al [13] proposed an innovative data recovery method based on robust reversible watermarking. e algorithm uses a pseudo-random number generator to generate a random key.…”

Section: Introductionmentioning

confidence: 99%

Robust Zero Watermarking Algorithm for Medical Images Based on Zernike-DCT

Yang

Bhatti

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

Digital medical system not only facilitates the storage and transmission of medical information but also brings information security problems. Aiming at the security of medical images, a robust zero watermarking algorithm for medical images based on Zernike-DCT is proposed. The algorithm first uses a chaotic logic sequence to preprocess and encrypt the watermark, then performs edge detection and Zernike moment processing on the original medical image to get the accurate edge points, and then performs discrete cosine transform (DCT) on them to get the feature vector. Finally, it combines perceptual Hash and zero watermark technology to generate the key to complete the watermark embedding and extraction. The algorithm has good robustness to conventional and geometric attacks, strong antinoise ability, high positioning accuracy, and processing efficiency and is superior to the classical edge detection algorithm in extraction effect. It is a stable and reliable image edge detection algorithm.

show abstract

Section: Introductionmentioning

confidence: 99%

Robust Zero Watermarking Algorithm for Medical Images Based on Zernike-DCT

Yang

Bhatti

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…A effective watermarking scheme has critical characteristics, such as imperceptibility, robustness, data capability and security. (Kamble et al,2019;Subhashini & Bagan, 2017).…”

Section: Introductionmentioning

confidence: 99%

ADD, TDA, Cıvıltı-z ve AÜ Ayrıştırma kullanarak Sağlam Görüntü Filigranı Oluşturma

Agoyi¹

2020

European Journal of Science and Technology

View full text Add to dashboard Cite

The exponential increase of multimedia technologies usage has made connectivity simpler, more convenient and quicker, but has also contributed to a number of infringements of digital content. Digital watermarking has been known to offer a solution to compliance issues related to copyright infringements in multimedia technology. This paper proposes a robust approach to image watermarking by integrating the benefits of all four algorithms. The proposed method is based on discrete wavelet transform (DWT), chirp z-transform (CZT), lower and upper (LU) decomposition and singular decomposition value (SVD). In this method, using 1-level DWT, the image is broken down into its frequency sub-bands. The LL sub-band is then converted into a z domain using CZT. LU decomposition was then used to further decompose the image into two matrixes, each of which was used to insert the watermark. SVD has been applied to each of the matrixes and the unique value of the watermark is inserted to the matrixes of the decomposed image. The robustness and imperceptibility of the proposed solution was tested by checking the watermarked image for various image processing operations. Experimental findings show that the proposed technique has high imperceptibility capability and it shows a reasonable level of robustness against signal processing operations such as filtering, scaling, JPEG, rotating, gamma correction, blurring, cropping, gaussian noise, contrast enhancement, histogram equalization, and salt & pepper noise.

show abstract