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| The Eno-haar Wavelet Transforms Based on Differential Operators and Its Application |
| Song Jin-ping; Yang Xiao-yi; Hou Yu-hua |
| College of Mathematics and Information Science, Henan University, Kaifeng 475001, China |
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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.
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Received: 28 January 2003
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2004, Vol. 26 
