@inproceedings{fc9df7b85ca94ae09171ba64827fcd1d,
title = "Morphological wavelet transform with adaptive dyadic structures",
abstract = "We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N logN) to find an optimal dyadic tree representation of a given multidimensional signal of N samples. The second component takes a signal with given dyadic tree representation and formulates the denoising problem for this signal as a Second Order Cone Program of size O(N). To solve the overall denoising problem, we apply these two algorithms iteratively to search for a jointly optimal denoised signal and dyadic tree representation. Experiments on images confirm that the approach yields denoised signals with improved PSNR and edge preservation.",
keywords = "Dynamic programming, Image enhancement, Morphological operations, Multidimensional signal processing, Wavelet transforms",
author = "Xiang, {Zhen James} and Ramadge, {Peter J.}",
year = "2010",
doi = "10.1109/ICIP.2010.5654033",
language = "English (US)",
isbn = "9781424479948",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1677--1680",
booktitle = "2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings",
note = "2010 17th IEEE International Conference on Image Processing, ICIP 2010 ; Conference date: 26-09-2010 Through 29-09-2010",
}