We present an effective blind image deblurring method based on a data-driven
discriminative prior. Our work is motivated by the fact that a good image prior should favor …

It has been known for more than 30 years that most of the geometric content of a digital
image is encoded in the phase of its Fourier transform. This has led to several works that …

In this paper, we propose a new method for denoising the volumetric magnetic resonance
(MR) images degraded with Rician noise. Taking into account the multi-frame (multi-linear) …

We propose a new incremental aggregation algorithm for multi-image deblurring with
automatic image selection. The primary motivation is that current burst deblurring methods …

Abstract Magnetic Resonance Imaging (MRI) plays a pivotal role in medical diagnostics and
research as a non-invasive imaging tool. The accuracy and reliability of clinical evaluations …

Optimal transport (OT) is a major statistical tool to measure similarity between features or to
match and average features. However, OT requires some relaxation and regularization to be …

This thesis deals with the Fourier phase structure of natural images, and addresses no-
reference sharpness assessment and fast texture synthesis by example. In Chapter 2, we …

Dans cet article est présentée une variante de l'indice de cohérence de phase appelé
Sharpness Index (SI). Cette nouvelle version baptisée Local Sharpness Index (LSI) s' …

Abordagens clássicas de separação de fontes como as baseadas em Análise por
Componentes Independentes e Análise por Componentes Esparsas são amplamente …