Creating and sharing knowledge for telecommunications

Project: Novel Statistical Criteria for Blind Restoration and Reconstruction of Images

Acronym: NSCBRRI
Main Objective: This project will address new, statistically based methods for
image restoration and reconstruction. The fundamental approach consists of using
representations of natural images yielding sparse and
near-independent coefficients. This goal will be pursued along two
main lines:

1. Methods relying on a fixed, wavelet-based representation. The
project shall extend existing methods of denoising, and of
deblurring using a known blur operator, to the blind deblurring /
denoising situation. The main approach will consist of taking the
blur operator as an additional unknown in a Bayesian formulation
of the problem.

2. Methods relying on a learned, ICA-based, spatially invariant
representation. The project shall address new image models,
consisting of an i.i.d. source followed by a learned, linear or
nonlinear, spatially invariant filter, and their application to
the blind deblurring problem.

Besides blurred natural images, the project will also address the
reconstruction of other classes of images, namely those formed
through tomographic methods.
Reference: POSC/EEA-CPS/61271/2004
Funding: FCT/POSC
Start Date: 01-08-2005
End Date: 31-07-2008
Team: Luís Henrique Martins Borges de Almeida, José Manuel Bioucas Dias, Mário Alexandre Teles de Figueiredo, Mariana Sá Correia Leite de Almeida, João Pedro Afonso Oliveira da Silva
Groups: Pattern and Image Analysis – Lx
Partners:
Local Coordinator: Luís Henrique Martins Borges de Almeida
Links: Internal Page
Associated Publications