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| Denoising by Singularity Detection |
| Jiang Hong; Wang Jun |
| Automatic Control Department School of Automation Beihang University Beijing 100083 China |
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Abstract A signal denoising algorithm based on singularity detection is introduced in this paper, It simplified the complicated linear interpolation operation needed in the 2-D image denoising so that the 2-D denoising is greatly simplified and it can also get the fast denoising and save lots of memory. A complete description of this method and its 1-D denoising simulation are presented. A simplified 2-D denoising simulation is presented, too. This method does not need the prior information of signal or noise. Simulation results indicate that compared to other wavelet based denoising algorithms, the main advantage of this method is: it can better detect and reduce the pulse noise and it can reduce the noise while keeping the signal edges better.
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Received: 15 September 2003
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2005, Vol. 27 
