Binaural noise-reduction method based on blind source separation and perceptual post processing

2011 ◽  
Author(s):  
Jorge I. Marin-Hurtado ◽  
Devangi N. Parikh ◽  
David V. Anderson
Keyword(s):  
Noise Reduction ◽  
Blind Source Separation ◽  
Reduction Method ◽  
Source Separation ◽  
Post Processing ◽  
Binaural Noise Reduction

scholarly journals Improved single-channel noise reduction method of speech by blind source separation

2007 ◽  
Vol 28 (3) ◽  
pp. 153-164 ◽  
Author(s):  
Mohammad Ekramul Hamid ◽  
Keita Ogawa ◽  
Takeshi Fukabayashi
Keyword(s):  
Noise Reduction ◽  
Blind Source Separation ◽  
Reduction Method ◽  
Single Channel ◽  
Source Separation ◽  
Channel Noise

scholarly journals NOISE REDUCTION METHOD FOR OCT IMAGES BASED ON EMPIRICAL MODE DECOMPOSITION

2013 ◽  
Vol 06 (02) ◽  
pp. 1350009 ◽  
Author(s):  
OLEG O. MYAKININ ◽  
DMITRY V. KORNILIN ◽  
IVAN A. BRATCHENKO ◽  
VALERIY P. ZAKHAROV ◽  
ALEXANDER G. KHRAMOV
Keyword(s):  
Noise Reduction ◽  
Empirical Mode Decomposition ◽  
Noise Suppression ◽  
Reduction Method ◽  
Tissue Structure ◽  
Diagnostic Process ◽  
Important Process ◽  
Post Processing ◽  
Mode Decomposition ◽  
Mesh Implant

In this paper, the new method for OCT images denoizing based on empirical mode decomposition (EMD) is proposed. The noise reduction is a very important process for following operations to analyze and recognition of tissue structure. Our method does not require any additional operations and hardware modifications. The basics of proposed method is described. Quality improvement of noise suppression on example of edge-detection procedure using the classical Canny's algorithm without any additional pre- and post-processing operations is demonstrated. Improvement of raw-segmentation in the automatic diagnostic process between a tissue and a mesh implant is shown.

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