Super Resolution Image Created Automatically from Mosaics

In order to extract information from the images, both the resolution and its application must be observed. This resolution depends basically on the physical characteristics of the sensor responsible for capturing these images, i.e. the disposition of the lenses, radiometric resolution, positioning, dimensions of the same, which determines the pixel size acquired by the device, among other technical factors. The objective of this work is to develop efficient algorithms, robust and automated fusion image frames for mosaics and super resolution from the selection of a region in the mosaic. Image registration is a fundamental step in combining several images that make up the scene. Our research is based on the determination and extraction of characteristics defined by the SIFT algorithm (detector / descriptor) and RANSAC. Validations real data show the effectiveness of our techniques proposed. The difference of this work is the way to get the matching and merging of images because it occurs dynamically between elements common images that are stored in a sparse matrix.