Open AccessHiding information by using Discrete Laguerre Wavelet Transform with new algorithms
Author(s) -
Asma Abdulelah Abdulrahman,
Fouad Shaker Tahir Al-azawi
Publication year - 2022
Publication title -
mağallaẗ kulliyyaẗ al-tarbiyaẗ al-asāsiyyaẗ
Language(s) - English
Resource type - Journals
ISSN - 2706-8536
DOI - 10.35950/cbej.v26i109.5349
Subject(s) - embedding , discrete wavelet transform , wavelet transform , algorithm , image (mathematics) , focus (optics) , wavelet , laguerre polynomials , artificial intelligence , computer science , information hiding , computer vision , mathematics , optics , mathematical analysis , physics
In this work, the focus was on embedding images and hiding image information in another image by mixing the two images analyzes using the new Discrete Laguerre Wavelets Transform (DLWT) by Approximate and Details coefficients. This method is used for the first time in this field to embedding two images and hide submerged image features. The results were compared with other waveforms indicating that the new wavelet transform proved efficient during the application of two simple examples, including immersing two mysterious images, the other example being the mask and the face.