| Popis: |
The resolution in images is a perceptible detail measure. If the resolution increases, perception of fine details, edges, clearness of the objects and image quality increases too. Video surveillance cameras usually have a standard resolution for video surveillance applications, commonly in VGA resolution (640 x 480 pixels). This video image in most of the cases does not provide enough information to identify a person or an object, the cameras with low resolution deliver poor data information and poor information in detailed images to maximize its size. If an area needs more resolution, it is necessary an algorithm that achieve this without the loss of inherent characteristics. We selected the fuzzy logic theory to solve these problems. This technique is used to improve image resolution. It helps in processes where ambiguity and vagueness in the data interpolation are present, this is due to the non-linearity of image information (edges, fine details, textures, etc.). The proposed Gaussian membership functions have non-linear characteristics, so they obtain good results in interpolation process. |
