DOI: 10.21276/sjet

Pages: 394-398

Medical imaging or videoing is an important diagnosis instrument to determine the presence of certain diseases. Therefore increasing the video resolution should significantly improve the diagnosis ability for corrective treatment. Furthermore, a better resolution may substantially improve automatic detection and image segmentation results. Despite the advances in acquisition technology and the show of optimized reconstruction algorithms, it is not easy to gain an approach at a desired resolution what is coming to one to imaging environments, the limitations of terrestrial imaging systems as well as quality-limiting factors a well known as Noise and Blur. A solution to this problem is the use of Super Resolution (SR) techniques which can be used for processing of such images. One of the epitomes is extended for estimating the displacement what one is in to in spatio-temporal image sequences that recognize affine alter deformations of interchangeable spatial regions and for affine transformations of the image period of time range. Based on this SR reconstruction algorithm is implemented. Performance of these algorithms was evaluated by means of objective image quality criteria PSNR, SSIM and NRMS to determine the algorithm for Medical videos.