1 code implementation • 11 Feb 2019 • Ramon Giostri Campos, Evandro Ottoni Teatini Salles
This paper uses robust statistics and curvelet transform to learn a general-purpose no-reference (NR) image quality assessment (IQA) model.
no code implementations • 22 May 2019 • Bruno Légora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli
The most commonly used methods are the ones based on minimizing the $\ell_2$ norm of the error, which is not suitable to deal with outliers, essentially in regression tasks.
no code implementations • IEEE Signal Processing Letters 2020 • Thaís Pedruzzi do Nascimento, Evandro Ottoni Teatini Salles
This letter proposes a multi-frame super-resolution framework by combining Demons registration with Bayesian-based regularized reconstruction.