Now showing items 1-4 of 4
Wavelet Based Speckle Reduction with Applications to SAR based ATD/R
This paper introduces a novel speckle reduction method based on thresholding the wavelet coefficients of the logarithmically transformed image. The method is computational efficient and can sinificantly reduce the speckle ...
Nonlinear Wavelet Processing for Enhancement of Images
In this note we apply some recent results on nonlinear wavelet analysis to image processing. In particular we illustrate how the (soft) thresholding algorithm due to Donoho and Johnstone can successfully be used to remove ...
Noise Reduction Using an Undecimated Discrete Wavelet Transform
A new nonlinear noise reduction method is presented that uses the discrete wavelet transform. Similar to Donoho and Johnstone, we employ thresholding in the wavelet transform domain but, following a suggestion by Coifman, ...
Wavelet Based SAR Speckle Reduction and Image Compression
This paper evaluates the performance of the recently published wavelet based algorithm for speckle reduction of SAR images. The original algorithm, based on the theory of wavelet thresholding due to Donoho and Johnstone, ...