Towards Perceptually Plausible Training of Image Restoration Neural Networks

This article presents a method to easily train a deep convolutional neural network architecture using transfer learning, with application to the insect image recog- nition problem..

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After presenting the several defects than can affect cinematographic material, and the film digital restoration field, we present in this paper the issues of

In this study, the image restoration process is used to improve the quality and recover the spatial resolution of bioluminescence images... 2 Comparison of Image

The main focus of the present work is the expectation of the hitting time (to a given target set) of the process with restart, for which we obtain simple explicit expressions in

Shadow maps have been used in [27] to calculate, in a preprocess, a special deep shadow map for a static light source, encoding occlusion for each point of a static scene..

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In this study, a NIR dye operating upon long wavelength (1064 nm) is proposed for an efficient polymerization of acrylate monomers. As unique originality, IR 1064 is used here in