Bio-image resolution enhancement using various filters

The process of medical images using Magnetic resonance imaging (MRI) is important in medical areas; such as the anatomy of human soft tissue, and diagnosis of stroke or cancer. Using mathematical and computational transformations, frequency is transferred to receive MRI images. From the process of an MRI, a large amount of frequency data are obtained. However, to determine the final image, the entire frequency information is not needed. To decrease the size of the frequency domain in a relatively large k-space, and to produce an MRI image of a brain, data was gathered in certain ways by utilizing various filters. Through utilizing MRI filters based on proposed Gaussian filters such as y = exp(-((m-L/2)²)/c^k), where m, L, c and k are all variables, and by adjusting the two main variables, c and k; relatively clear images with smaller k-space are able to be created. The constants c and k are tested from 10 and 1, increasing by 5 and 1, respectively.