Signal and image denoising in transform domain and wavelet shrinkage: A comparative study

Rusen Öktem, Leonid Yarovslavsky, Karen Egiazarian

Research output: Contribution to journalConference articlepeer-review

27 Scopus citations

Abstract

In this work, nonlinear local transform domain filtering is reviewed, and its relation with wavelet denoising is discussed. A postprocessing stage is applied to a number of transform domain denoised signals to obtain a better estimate of the original signal. Simulations are made over different Gaussian noise corrupted one-dimensional signals and images, in DCT and wavelet transform domains. Their performances with respect to threshold, transform basis and window size are compared.

Original languageEnglish
JournalEuropean Signal Processing Conference
Volume1998-January
StatePublished - 1998
Event9th European Signal Processing Conference, EUSIPCO 1998 - Island of Rhodes, Greece
Duration: 8 Sep 199811 Sep 1998

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