Main Article Content

Abstract

Image denoising is the removal of noise from original images. In this paper, Image denoising method is implemented on CTA medical image for better understanding. Shearlet transform method is used to eliminate noise from Medical CTA image. Existing methods are Median filtering, Wiener filter and Wavelet Transform method. Output Image of Median filtering, wiener filter and Wavelet transform is a blurred one in which physician does not find accurate diagnosis or treatment. In order to overcome those drawbacks the Shearlet transform is proposed. The output results give more insights about the images and denoise the overall scope of finding more perceptions.

Article Details

How to Cite
M.Raja, & .S.Vijayachitra. (2019). Noise Removal in Medical Images using Shearlet Transform . International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 1238–1244. Retrieved from https://ijiarec.com/ijiarec/article/view/1114