This paper proposes high resolution RGB image supported near infrared (NIR) image super resolution method. In general, NIR image has low resolution characteristics. To show small image on bigger screen, super resolution method is applied to generate bigger image to fit the display. As CCD camera take colors images with high resolution, therefore one many extract helpful features for NIR image s...

For a connected graph G = (V, E), an edge set S ⊆ E is a k-restricted edge cut if G−S is disconnected and every component of G− S has at least k vertices. The k-restricted edge connectivity of G, denoted by λk(G), is defined as the cardinality of a minimum k-restricted edge cut. Let ξk(G) = min{|[X, X ]| : |X | = k,G[X ] is connected}. G is λk -optimal if λk(G) = ξk(G). Moreover, G is super-λk ...

The goal of multi-frame image super-resolution is to use information from low-resolution images to construct highresolution images. Current multi-frame image super-resolution methods are highly sensitive to prominent large scale artifacts found within the low-resolution images, leading to reduced image quality. This paper presents a novel adaptive approach to large scale artifact reduction in m...

Gallian’s survey shows that there is a big variety of labelings of graphs. By means of (di)graphs products we can establish strong relations among some of them. Moreover, due to the freedom of one of the factors, we can also obtain enumerative results that provide lower bounds on the number of nonisomorphic labelings of a particular type. In this talk, we will focus in three of the (di)graphs p...

Face super-resolution (SR) has become an indispensable function in security solutions such as video surveillance and identification system, but the distortion facial components is a great challenge it. Most state-of-the-art methods have utilized priors with deep neural networks. These require extra labels, longer training time, larger computation memory. In this paper, we propose novel Edge Ide...