How to Cite: Abdulrahman, A. A., Mustafa, M. A., & Tahir, F. S. (2022). Novel Watermarking efficiency using New Discrete Laguerre Wavelets Transform (NDLWT). International Journal of Health Sciences, 6(S9), 3399– 3409. https://doi.org/10.53730/ijhs.v6nS9.13334 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 9 May 2022, Manuscript revised: 18 July 2022, Accepted for publication: 27 August 2022 3399 Novel watermarking efficiency using New Discrete Laguerre Wavelets Transform (NDLWT) Asma Abdulelah Abdulrahman Branch of Mathematics and Computer Applications, Department of Applied Sciences, University of Technology Iraq, Baghdad, Iraq Maha Ammar Mustafa Branch of Mathematics and Computer Applications, Department of Applied Sciences, University of Technology Iraq, Baghdad, Iraq Fouad Shaker Tahir Branch of Mathematics and Computer Applications, Department of Applied Sciences, University of Technology Iraq, Baghdad, Iraq Email: mvzyo54980@gmail.com Abstract---Watermarking in protecting brands from possible counterfeiting is considered one of the methods of processing digital and color images. This technique requires the discovery of advanced methods to obtain the best results by discovering a new filter instead of the standard filters that were used without reaching the peak of the required and optimal values through which the images are analyzed. Colored with the proposed watermark in the process of immersion and separation the new filter is derived from Laguerre polynomials and using mathematical methods to derive the filter. And using it in analyzing the image to reach the best results, and through the proposed New Discrete Laguerre Wavelets Transform NDLWT for watermark algorithms it becomes clear the efficiency of the proposed theory in reading the most important criteria for the quality of the extracted image. The program or language that was used in this work is the MATLAB language in analyzing and compressing the cover image, where five attacks were directed on the image from the gray scale in which the watermark was immersed, and the proposed filter was used in this work and to reach the best results and calculate Peak signal-to-noise ratio (PSNR) and normal correlation (NC) illustrated The efficiency of this method. Keywords---New discrete Laguerre wavelets transform (NDLWT), Watermarking, Peak signal-to-noise ratio (PSNR), normal correlation (NC), quick response code (QR code)