Now showing items 1-5 of 5
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 ...
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 ...
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, ...
Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images
In this paper we propose a novel method based on wavelet thresholding for enhancement of decompressed transform coded images. Transform coding at low bit rates typically introduces artifacts associated witht he basis ...
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, ...