@misc{Anjana_Savita_Asymmetric_2022,
 author={Anjana, Savita and Rakheja, Pankaj and Yadav, Ak and Singh, Phool and Singh, Hukum},
 contributor={Urbańczyk, Wacław. Redakcja},
 identifier={DOI: 10.37190/oa2202},
 year={2022},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 publisher={Oficyna Wydawnicza Politechniki Wrocławskiej},
 description={Optica Applicata, Vol. 52, 2022, nr 2, s. 283-295},
 description={Optica Applicata is an international journal, published in a non-periodical form in the years 1971-1973 and quarterly since 1973. From the beginning of the year 2008, Optica Applicata is an Open Access journal available online via the Internet, with free access to the full text of articles serving the best interests of the scientific community. The journal is abstracted and indexed in: Chemical Abstracts, Compendex, Current Contents, Inspec, Referativnyj Zhurnal, SCI Expanded, Scopus, Ulrich’s Periodicals Directory},
 description={http://opticaapplicata.pwr.edu.pl/},
 language={eng},
 abstract={A novel asymmetric scheme for double image encryption, compression and watermarking based on QR decomposition in the Fresnel domain has been presented. The QR decomposition provides a permutation matrix as a ciphertext and the product of orthogonal and triangular matrix as a key. The ciphertext obtained through this process is a sparse matrix that is compressed by the CSR method to give compressed encrypted data, which, when combined with a host image, gives a watermarked image. Thus, a cryptosystem that involves compression and watermarking is proposed. The proposed scheme is validated for grayscale images. To check the efficacy of the proposed scheme, histograms, statistical parameters, and key sensitivity are analyzed. The scheme is also tested against various attacks. Numerical simulations are performed to validate the security of the scheme.},
 type={artykuł},
 title={Asymmetric double image encryption, compression and watermarking scheme based on orthogonal-triangular decomposition with column pivoting},
 keywords={optyka, QR decomposition, Fresnel transform, sparse matrix, asymmetric cryptosystem},
}