• Aucun résultat trouvé

Image restoration using a kNN-variant of the mean-shift

N/A
N/A
Protected

Academic year: 2021

Partager "Image restoration using a kNN-variant of the mean-shift"

Copied!
5
0
0

Texte intégral

Loading

Figure

Fig. 1. RMSE in function of the numbers of nearest neighbors for different levels of noise.
Table 1. RMSE and SSIM values for different values of k, and for UINTA.

Références

Documents relatifs

In this paper, we have proposed a method that automatically identifies and classifies different question types by using a domain specific syntax information, which is based on

In this work, the non-differentiability of the objective is ad- dressed by reformulating the image restoration problem as a nonnega- tively constrained quadratic program which is

In fact, the best solution found by the GA, here called H-GA, uses only 31% of the dimensions from the canonical version of the descriptor and still achieves a similar performance.

As a novelty, the sign gradient descent algorithm allows to converge in practice towards other minima than the closest minimum of the initial condition making these algorithms

aromatic triblock copolymers with highly sulfonated blocks having pendent sulfonic acid groups for highly proton conductive ionomer membranes. Mechanical and Thermal Properties of

On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification, Technical Report, Universit´ e Pierre

Citation: Jaeger, S.; Harelik, L., Automation of the Building Code Compliance, National Conference of States on Building Codes and Standards, Research and Innovation in the

Given that Moffatt vortices in the corner made between a moving contact line and a wall have not been observed so far in experiments, we discuss their existence on both sides of