Open AccessJournal Article
A Novel Image Denoising Method Based on Curvelet Transform
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In this article, a novel image denoising algorithm is proposed, which utilizes curvelet transform combining with cycle spinning, which avoids image artifacts due to the lack of translation invariance of curvelet transformation.Abstract:
A novel image denoising algorithm is proposed,which utilizes curvelet transform combining with cycle spinning.It avoids image artifacts due to the lack of translation invariance of curvelet transform.The experimental results show that the proposed curvelet reconstructions method yields denoised images with higher PSNR and better perceptual quality than the ones denoised by classical wavelet transform.read more
Citations
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Journal ArticleDOI
Research on Ground Penetrating Radar Image Denoising Using Nonsubsampled Contourlet Transform and Adaptive Threshold Algorithm
TL;DR: Simulation results show that, compared with the wavelet threshold denoising algorithm, the proposed algorithm can effectively remove the Gauss white noise in the image, improve the peak signal to noise ratio (PNSR), and improve the PSNR value and reduce the Gibbs phenomenon.
Proceedings ArticleDOI
A study on processing of building settlement image based on Contourlet transform and Curvelet transform
Chuntao Man,Bingjie Wang +1 more
TL;DR: The paper adopts the method of observing image of scale over a long distance to record the settlement of the building and introduces the principle of Contourlet transform and Curvelet transform; denoising image with Contourlets transform and then strengthening image with Curvelets transform to make details of image of Scale clearer and to observe its slight change.