The correlation between CL(2) multiwavelet shrinkage and second-order nonlinear diffusion equation in multi-level

In many investigations, multi-wavelets outperformed scalar wavelets in decreasing signal and image noise. Multi-wavelet conversion has also been used in signal processing to reduce noise. This is due to the fact that multi-wavelet has crucial qualities such as orthogonality, short support, and symmetry, whereas scalar wavelet does not have such properties at the same time. In addition, the multi-wavelet is a stunning and modern contribution to the wavelet theory. The goal of this work is to discover the relationship between CL(2) multiwavelet shrinkage and second-order nonlinear diffusion equation in multi-level. The results presented here can help to improve the use of wavelets in communication applications.