Algorithm for Improving Image Denoising Based on Adaptive Wavelet Transform

2014 ◽  
Vol 912-914 ◽  
pp. 1134-1137
Author(s):  
Xiang Shi Wang
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Specific Property ◽  
Threshold Function ◽  
Natural Image ◽  
Wavelet Domain ◽  
Adaptive Wavelet ◽  
Threshold Functions ◽  
Adaptive Wavelet Transform ◽  
Adaptive Neighborhood

The denoising of a natural image is the important area in image processing. As a tool of image processing, wavelet transform is widly applied in removing of gauss noise for the partial specific property in time and frequency domain.The main goal of this paper is to eliminate the noise by an adaptive neighborhood window of the wavelet domain and focused on selecting a medium-soft threshold function based on wavelet. Simulation results have shown that the modified function improves the denoising effect comparing with the other threshold functions.

scholarly journals Identification and Representation of Multi-Pulse Near-Fault Strong Ground Motion Using Adaptive Wavelet Transform

2019 ◽  
Vol 9 (2) ◽  
pp. 259 ◽  
Author(s):  
Chunxu Xia ◽  
Chunguang Liu
Keyword(s):  
Wavelet Transform ◽  
Pulse Energy ◽  
Horizontal Direction ◽  
Mother Wavelet ◽  
Adaptive Wavelet ◽  
Near Fault ◽  
Seismic Motion ◽  
Adaptive Wavelet Transform ◽  
Mother Wavelets ◽  
Strong Ground

In order to identify the horizontal seismic motion owning the largest pulse energy, and represent the dominant pulse-like component embedded in this seismic motion, we used the adaptive wavelet transform algorithm in this paper. Fifteen candidate mother wavelets were evaluated to select the optimum wavelet based on the similarities between the candidate mother wavelet and the target seismic motion, evaluated by the minimum cross variance. This adaptive choosing algorithm for the optimum mother wavelet was invoked before identifying both the horizontal direction owning the largest pulse energy and every dominant pulse, which provides the optimum mother wavelet for the continuous wavelet transform. Each dominant pulse can be represented by its adaptively selected optimum mother wavelet. The results indicate that the identified multi-pulse component fits well with the seismic motion. In most cases, mother wavelets in one multi-pulse seismic motion were different from each other. For the Chi-Chi event (1999-Sep-20 17:47:16 UTC, Mw = 7.6), 62.26% of the qualified pulse-like earthquake motions lay in the horizontal direction ranging from ±15° to ±75°. The Daubechies 6 (db6) mother wavelet was the most frequently used type for both the first and second pulse components.

scholarly journals Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform

2007 ◽  
Vol 2007 ◽  
pp. 1-13 ◽  
Author(s):  
Marco Cagnazzo ◽  
Sara Parrilli ◽  
Giovanni Poggi ◽  
Luisa Verdoliva
Keyword(s):  
Wavelet Transform ◽  
Image Coding ◽  
Adaptive Wavelet ◽  
Object Based ◽  
Adaptive Wavelet Transform
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