Abstract
The important feature of de-noising medical images is to reduce various types of noises namely, Impulse, Gaussian and Speckle noise which are normally found in medical imagery. Technological enhancement has considerably improved for de-noising medical images. This article proposes a comparative study on the various hybrid filters for the de-noise of Gaussian, impulse and Speckle from MRI, CT and ultrasound images respectively. The quality of the improved images is obtained by the statistical quantity measures: RMSE and PSNR values. This comparative study will give a good direction for selecting an appropriate filter in de-noising of medical images.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.