Analysis of two dimensional signals via curvelet transform

W. Lech; W. Wójcik; A. Kotyra; P. Popiel; M. Duk

doi:10.1117/12.739742

9 April 2007 Analysis of two dimensional signals via curvelet transform

W. Lech, W. Wójcik, A. Kotyra, P. Popiel, M. Duk

Proceedings Volume 6608, Lightguides and Their Applications III; 66081J (2007) https://doi.org/10.1117/12.739742
Event: Lightguides and Their Applications III, 2006, Krasnobród, Poland

Abstract

This paper describes an application of curvelet transform analysis problem of interferometric images. Comparing to two-dimensional wavelet transform, curvelet transform has higher time-frequency resolution. This article includes numerical experiments, which were executed on random interferometric image. In the result of nonlinear approximations, curvelet transform obtains matrix with smaller number of coefficients than is guaranteed by wavelet transform. Additionally, denoising simulations show that curvelet could be a very good tool to remove noise from images.

Citation Download Citation

W. Lech, W. Wójcik, A. Kotyra, P. Popiel, and M. Duk "Analysis of two dimensional signals via curvelet transform", Proc. SPIE 6608, Lightguides and Their Applications III, 66081J (9 April 2007); https://doi.org/10.1117/12.739742

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