[seminarios-mlpb] Re: Tuesday, May 26th, 13:00, Anfiteatro do Complexo Interdisciplinar: Manya Afonso on "Noise Decomposition for Multiplicative and Wide Sense Multiplicative Noise"

  • From: pedro rijo <pedrorijo91@xxxxxxxxx>
  • To: seminarios-mlpb@xxxxxxxxxxxxx
  • Date: Mon, 25 May 2015 10:36:48 +0100

Bom dia,

Gostava de sair da mailing list sff.

Obrigado,
Pedro Rijo

2015-05-25 10:01 GMT+01:00 Mariana Almeida <mla@xxxxxxxxxxx>:



Hi,

The next seminar will be given by Manya Afonso on "Noise Decomposition for
Multiplicative and Wide Sense Multiplicative Noise".

See information below.


********************************************************************
TALK ANNOUNCEMENT -- Anfiteatro do Complexo Interdisciplinar
********************************************************************

Priberam Machine Learning Lunch Seminar
Speaker: Manya Afonso (ISR/IST)
Venue: IST Alameda, Anfiteatro do Complexo Interdisciplinar
Date: Tuesday, May 26th, 2015
Time: 13:00
Lunch will be provided


Title:
Noise Decomposition for Multiplicative and Wide Sense Multiplicative Noise

Abstract:
In some imaging modalities based on coherent radiation, the noise
contaminating an image may contain useful information, thereby
necessitating
the separation of the noise field rather than just denoising. When the
algebraic operation that relates the image and noise is known, the noise
component can be estimated in a straightforward manner after denoising. For
truly multiplicative noise, such as the Rayleigh, Gamma, and other noises,
when the noiseless image is a scale parameter of the probability density
function, the noise field is estimated by a simple element-wise division of
the noisy image by the denoised estimate. However, not all statistical
models describing signal dependent noise (for example, Poisson noise) allow
for the noise to be computed by a direct algebraic operation on the noisy
observation and the denoised image. To address this, we propose a method
for simultaneously estimating the image and separating the noise field,
when we do not know the algebraic relation between them. It is assumed that
the image is sparse and the noise field is not, and appropriate
regularizers are used on them. We use a polynomial representation to relate
the image and noise with the observed image, and iteratively estimate the
polynomial coefficients, the image, and noise component. Experimental
results show that the method correctly estimates the model coefficients and
the estimated noise components follow their respective statistical
distributions.

Bio:
Manya Afonso is a Post-doc at the Instituto de Sistemas e Robótica in
Instituto Superior Técnico. He finished his PhD at Instituto Superior
Técnico in 2011, while being a researcher at the Instituto de
Telecomunicacoes. He previously received the Bachelor of Engineering degree
in Electronics and Telecommunication Engineering from Goa University, India
in 2003 and Master of Technology in Communication Engineering from the
Indian Institute of Technology Delhi in 2005. Afonso's research interests
include
image processing and analysis, inverse problems, optimization, machine
learning, computer vision, and video surveillance.
He is a member of the IEEE and the Associação Portuguesa de Reconhecimento
de Padrões (APRP)


********************************************************************
General info about our seminars:
http://labs.priberam.com/Academia-Partnerships/Seminars.aspx
Please forward this link to whoever might be interested in attending the
seminars.
--

Mariana Almeida

Research Scientist

Email: mla@xxxxxxxxxxx
URL: http://labs.priberam.com




--
Obrigado,

Pedro Rijo

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