Selection of natural scale in discrete wavelet domain using eigenvalues

In this paper we present a novel technique for the selection of global natural scale from discrete wavelet transform. Here we define natural scale as the level associated with most prominent (dominant) eigenvalue. This technique is iterative and does not require full decomposition before finding the optimal wavelet level.