Efficient Quality Analysis and Enhancement of MRI Image Using Pre-Processing Techniques

Abstract: Real time applications require improved image quality which is achieved efficiently using pre-processing techniques. For this purpose, neighbourhood pixels in input image are used so that desired output image is obtained. The quality of medical image is determined by the major parameters- Noise and Resolution. Filtration and Resolution Enhancement are employed to process the medical image. The main objective of this paper is to improve image quality by de-noising and resolution enhancement for different types of noises. Medical image is mostly degraded by noise. For preserving the edges and contour information of the MRI, an efficient de-noising and improved image enhancement technique is to be employed. Filtration is performed using average, median and wiener filters and an interpolation based Discrete Wavelet Transform (DWT) performs resolution enhancement. Performance evaluation is done using Peak Signal to Noise Ratio (PSNR).From the statistical measures and image quality, it is clear that de-noising and resolution enhancement is inevitable for pre-processing.

Keywords: De-noising, Discrete Wavelet Transform, Filtering, Image pre-processing, PSNR.