STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

A Survey of Multiwavelet Filtering Based Denoising Techniques for Mammographic Medical Images

  1. Swapnil Tamrakar
  2. Abha Choubey

Abstract

The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. We have presented a survey of the popular denoising techniques used in the literature to achieve the same.Cite this ArticleTamrakar S, Choubey A. A Survey of Multiwavelet Filtering Based Denoising Techniques for Mammographic Medical Images. Journal of Image Processing & Pattern Recognition Progress. 2015; 2(1): 1-4

Keywords

Support