Paper Details: Downloads: 458
Serial Number: P1150804003
Title: Removal of Speckle Noise from Ultrasound Medical Image based on Special Filters: Comparative Study
Authors: K. Thangavel and R. Manavalan and I. Laurence Aroquiaraj
Abstract: removing noise from the original image is still a challenging research in image processing. Generally there is no common enhancement approach for noise reduction. Several approaches have been introduced and each has its own assumption, advantages and disadvantages. The speckle noise is commonly found in the ultrasound medical images. This paper proposes different filtering techniques based on statistical methods for the removal of speckle noise. A number of success full experiments validate the proposed filtering model. The quality of the enhanced images is measured by the statistical quantity measures: Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PSNR), and Root Mean Square Error (RMSE).
Keywords: Ultrasound Image, Prostate, Speckle Noise, SNR, PSNR, RMSE
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 9
Issue: 3
Submission Date: 1/1/2008 12:00:00 AM
Review Date: 3/1/2008 12:00:00 AM
Publishing Date: 7/1/2009 12:00:00 AM
Article Downloads: 458
Download:

Facebook