The essay is organized as follows: Starting with the initial channel bank, we create a discrete wavelet transform (DWT) with a binary tree structure and double thickness. The obtained channels are subsequently improved using nonlinear streamlining, yielding sets of wavelets with analyticality and perfect changing commitments. We present two examples of configurations that are superior to those obtained using a previous methodology. We illustrate the cloaked watermark's capabilities for filtering, altering, confirming, re-quantizing, boosting signal noise, and compressing Mp3 files. The correlation research reveals that our approach prioritizes task execution above previously disclosed watermarking solutions.