ENO morphological wavelet and its application in image processing

Lin Yong and Ge Xinfeng

Abstract

The two dimensional ENO (essentially non-oscillatory) MW (morphological wavelet) algorithm is proposed, using the characteristics of ENO interpolation basically without oscillation, and improved reconstruction strategy. The original signal is decomposed by MW algorithm, and reconstructed according to ENO interpolation method. The algorithm is applied to image processing, results show the mentioned ENO MW algorithm has better profermance than the existing MW and has good application value.