Abstract：In this paper, the differential operators are introduced firstly. Then based on the characteristics of Haar wavelet transforms and the differential operators, a transmissibility algorithm is proposed and applied to the singularity measuring of 2D signal. Secondly, a new algorithm called the Eno-haar (Essentially non-oscillatory-haar) wavelet transforms algorithm based on the differential operators is presented. And it is proved by experiments that this algorithm is effective and feasible to image compression.
宋锦萍;杨晓艺;侯玉华. 基于微分算子的Eno-haar小波变换及其应用[J]. 电子与信息学报, 2004, 26(6): 940-944 .
Song Jin-ping; Yang Xiao-yi; Hou Yu-hua. The Eno-haar Wavelet Transforms Based on Differential Operators and Its Application. , 2004, 26(6): 940-944 .
2004, Vol. 26 
