AUDIO DATA HIDING USING DOUBLE-DENSITY DUAL-TREE DISCRETE WAVELET TRANSFORM

Abstract

The essay's organization illustrates that we initiate the construction of a binary tree structure discrete wavelet transform (DWT) with double thickness. Wavelets with optimal variable commitments and analytical properties are generated by enhancing the obtained channels through nonlinear refinement. We provide two configurations that surpass those identified by a prior technique. The veiled watermark demonstrates filtering, altering, validating, re-quantizing, augmenting signal noise, and compressing Mp3 files. Our technique surpasses previously documented watermarking strategies in job execution, as evidenced by the correlation analysis.