Mean-Variance Blind Noise Estimation for CT Images

Conference paper

DOI: 10.1007/978-3-319-04960-1_21

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 264)
Cite this paper as:
James A.P., Kavitha A.P. (2014) Mean-Variance Blind Noise Estimation for CT Images. In: Thampi S., Gelbukh A., Mukhopadhyay J. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 264. Springer, Cham

Abstract

Noise estimation is a precursor to de-noising techniques to improve the signal and visual quality of medical images. We present a noise estimation algorithm using the local image statistics of the CT images at voxel level. The algorithm calculates the local mean variance distribution and detects the minimised error rates for identifying the tolerance range of voxel to artificial noises. The reliability of the method is experimentally verified using Gaussian noise and Speckle noise on CT scan images.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Nazarbayev University and Enview R&D LabsAstanaKazakhstan
  2. 2.University of KeralaThiruvananthapuramIndia

Personalised recommendations