Adaptive frames-based denoising of confocal microscopy data

Alberto Santamaría-Pang; Teodor Ş Bîldea; Ioannis Konstantinidis; Ioannis A. Kakadiaris

Adaptive frames-based denoising of confocal microscopy data

Alberto Santamaría-Pang, Teodor Ş Bîldea, Ioannis Konstantinidis, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present a novel frames-based denoising algorithm. Using a general result on lifting frames, we construct a non-separable 3D frame capable of robust edge detection. This frame detects edge information by ensemble thresholding of the filtered data. The denoising uses a hysteresis thresholding step and an affine thresholding function, which are filter-adaptive and take full advantage of the threshold bounds. The threshold bounds are statistically determined from the given data for each directional filter. We compare our denoising method with other methods based on separable 3D wavelets and 3D median filtering, and report very encouraging results on applications to both synthetic and real confocal microscopy data.

Original language	English (US)
Title of host publication	2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
Pages	II85-II88
State	Published - 2006
Event	2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France Duration: May 14 2006 → May 19 2006

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
ISSN (Print)	1520-6149

Other

Other	2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/Territory	France
City	Toulouse
Period	5/14/06 → 5/19/06

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

Santamaría-Pang, A., Bîldea, T. Ş., Konstantinidis, I., & Kakadiaris, I. A. (2006). Adaptive frames-based denoising of confocal microscopy data. In 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings (pp. II85-II88). Article 1660285 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2).

Adaptive frames-based denoising of confocal microscopy data. / Santamaría-Pang, Alberto; Bîldea, Teodor Ş; Konstantinidis, Ioannis et al.
2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings. 2006. p. II85-II88 1660285 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Santamaría-Pang, A, Bîldea, TŞ, Konstantinidis, I & Kakadiaris, IA 2006, Adaptive frames-based denoising of confocal microscopy data. in 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings., 1660285, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2, pp. II85-II88, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, Toulouse, France, 5/14/06.

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AB - In this paper, we present a novel frames-based denoising algorithm. Using a general result on lifting frames, we construct a non-separable 3D frame capable of robust edge detection. This frame detects edge information by ensemble thresholding of the filtered data. The denoising uses a hysteresis thresholding step and an affine thresholding function, which are filter-adaptive and take full advantage of the threshold bounds. The threshold bounds are statistically determined from the given data for each directional filter. We compare our denoising method with other methods based on separable 3D wavelets and 3D median filtering, and report very encouraging results on applications to both synthetic and real confocal microscopy data.

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Adaptive frames-based denoising of confocal microscopy data

Abstract

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ASJC Scopus subject areas

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