A comparison of wavelet analysis techniques in digital holograms

Karen M. Molony; Jonathan Maycock; John B. McDonald; Bryan M. Hennelly; Thomas J. Naughton

doi:10.1117/12.782786

25 April 2008 A comparison of wavelet analysis techniques in digital holograms

Karen M. Molony, Jonathan Maycock, John B. McDonald, Bryan M. Hennelly, Thomas J. Naughton

Proceedings Volume 6994, Photon Management III; 699412 (2008) https://doi.org/10.1117/12.782786
Event: SPIE Photonics Europe, 2008, Strasbourg, France

Abstract

This study explores the effectiveness of wavelet analysis techniques on digital holograms of real-world 3D objects. Stationary and discrete wavelet transform techniques have been applied for noise reduction and compared. Noise is a common problem in image analysis and successful reduction of noise without degradation of content is difficult to achieve. These wavelet transform denoising techniques are contrasted with traditional noise reduction techniques; mean filtering, median filtering, Fourier filtering. The different approaches are compared in terms of speckle reduction, edge preservation and resolution preservation.

Citation Download Citation

Karen M. Molony, Jonathan Maycock, John B. McDonald, Bryan M. Hennelly, and Thomas J. Naughton "A comparison of wavelet analysis techniques in digital holograms", Proc. SPIE 6994, Photon Management III, 699412 (25 April 2008); https://doi.org/10.1117/12.782786

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