Removal of Various Noise Signals from Medical Images Using Wavelet Based Filter & Unsymmetrical Trimmed Median Filter

Abstract— In science and technology image processing is now a critical component. Development in computerized medical image reconstruction has make medical imaging into one of the most important sub-fields in scientific imaging. The quality of digital medical images becomes an important issue with the use of digital imaging to diagnose a disease. It is necessary that medical image must be clean. Sharp and noise free to obtain a best possible diagnosis. As the technology became advance the quality of digital images continue to improve, the result is an improvement in the resolution and quality of images, removing noise from these images is one of the challenging task because they could blur and mask important parameter of the images. So for researcher’s image de-noising still remains a challenge. There are different image denoising methods each having their own advantages and disadvantages. In most of images additive random noise is assumed which is modelled as a white Gaussian noise. In this paper we are considering the situation when magnetic resonance medical images are affected by mixed noise (that is both the Gaussian and salt and pepper noise).In this paper a new hybrid method is used to remove the mixed noise from the magnetic resonance medical images by combining both the wavelet based filter and unsymmetrical trimmed median filter. The Performance of proposed hybrid method is evaluated in terms of PSNR and MSE.