Bhawna Goyal¹, Ayush Dogra¹*, Sunil Agrawal¹ and BS Sohi²

¹Department of ECE, UIET, Panjab University, Chandigarh, India
²Pro-vice Chancellor, Chandigarh University, Gharuan, Punjab, India

*Corresponding Author: Ayush Dogra, Department of ECE, UIET, Panjab University, Chandigarh, India.

Received: December 11, 2017; Published: December 29, 2017

Citation: Ayush Dogra., et al. “Medical Image Denoising: A Brief Insight”. Acta Scientific Pharmaceutical Sciences 1.6 (2018).

Abstract

  As the number of pixels increases per unit area, the image acquisition devices are becoming more prone to noise. This elimination of these noisy pixels become more significant especially in the medical imaging as the prevalence of noise can lead to delayed and false diagnosis. In this letter, we briefly highlight the various methods and importance of image denoising in radiology.

Keywords: Medical Imaging; Image Denoising; Radiology; Transform Domain; Spatial Domain

Copyright: © 2018 Ayush Dogra., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.