Speckle Noise Reduction in Ultrasound Images （散斑噪声降低超声图像）.pdfVIP

International Journal of Computer Theory and Engineering, Vol. 1, No. 1, April 2009 1793-8201 Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance S.Sudha, G.R.Suresh and R.Sukanesh enhances the signal to noise ratio while conserving the edges Abstract In medical image processing, image denoising has and lines in the image. Filtering techniques are used as become a very essential exercise all through the diagnose. preface action before segmentation and classification. On the Arbitration between the perpetuation of useful diagnostic whole speckle reduction can be divided roughly into two information and noise suppression must be treasured in medical categories. The first one recovers the image by summing images. In general we rely on the intervention of a proficient to control the quality of processed images. In certain cases, for more than a few observations of the same object which instance in Ultrasound images, the noise can restrain suppose that no change or motion of the object happened information which is valuable for the general practitioner. during the reception of observations. Statistical filter like Consequently medical images are very inconsistent, and it is Weiner filter [1] adopted filtering in the spectral domain, but crucial to operate case to case. This paper presents a the classical Wiener filter is not adequate while it is designed wavelet-based thres