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- W2394350048 abstract "Sonar images usually have complex backgrounds,low contrast,and indistinct edges,making it difficult to determine the edges of objects.The wavelet transform, though it can effectively eliminate noise from the sonar image,does not preserve edges in sonar images very well because of its own limitations.The finite Ridgelet transform(FRIT) is a new high-dimensional signal processing method that overcomes the defects of wavelet transform in dealing with high-dimensional signals.To deal with the special characteristics of sonar images and the distribution of underwater noise,this paper proposed a new adaptive monoscale FRIT denoising method,which not only reduces the effects of surrounding phenomenon,but also overcomes the shortcoming of wavelet denoising,that it cannot keep edges distinct.Therefore the signal-to-noise ratio is substantially improved.Compared with other methods,this method is effective at denoising while preserving edges in sonar images." @default.
- W2394350048 created "2016-06-24" @default.
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- W2394350048 date "2007-01-01" @default.
- W2394350048 modified "2023-09-24" @default.
- W2394350048 title "Adaptive monoscale Ridgelet denoising method for sonar images" @default.
- W2394350048 hasPublicationYear "2007" @default.
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