21-01-2012, 02:16 PM
The Curvelet Transform For Image Denoising
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Image denoising using Wavelet
Over the last decade, there has been abundant interest in wavelet methods for noise removal in signals and images.
Initial efforts included very simple ideas like thresholding of the orthogonal wavelet coefficients of the noisy data, followed by reconstruction
The new Transforms
The new ridgelet and curvelet transforms were developed over several years in an attempt to break an inherent limit causes in wavelet denoising of images.
The continuous ridgelet transform provides a sparse repre sentation of both smooth functions and of perfectly straight edges.
