Novel filter designing for enhancement of medical images using super-resolution

Medical imaging plays a vital role in the diagnosis and treatment of any ailment or disorder. The resolution of medical images thus becomes crucial in obtaining accurate details for diagnosis and treatment. X-ray and Magnetic Resonance Imaging. Technique are the two acquisition techniques which are widely used in medical imaging. The images acquired by these processes are of low resolution. But due to the limitations of the equipment cost and complexity, the resolution of the images cannot be improved in situ. The method of Super-resolution uses either a single low resolution image or a set of multiple low resolution images improves the image resolution, PSNR (Peak Signal to Noise Ratio) and the quality Index. In the last few decades many super-resolution methods were proposed. These methods had limitations in their utility due to the assumed model of data and noise. In this paper, we have proposed a method of enhancement of knee image taken using X-ray, MRI using TV regularization, shock, median, frost and wiener filter for noise removal. We also calculate the Joint Space Distance which becomes important in treatment of knee ailments like Rheumatoid Arthritis.