Reduction of Speckle Noise in Medical Images

  Balineni Sriya,  Akshatha Shenoy,  Anubha Sharma

To scan different human organs magnetic imaging devices are used such as Ultrasound, magnetic resonance image, X-ray etc. Using these devices we can get medical images which can be used to detect diseases. However, these medical images are often corrupted by noise. Noise is present in medical images during acquisition, coding, transmission and processing steps. Medical images are oftentimes affected by speckle noise. We need to remove the speckle noise in order to utilize medical images accurately. In order to extract essential information from medical images, de-noising must be done. In this report, we have extensively studied various existing methods to reduce speckle noise and come up with a very application specific method that gave the best results compared to other existing methods. Stationary wavelet transform is used to de-noise the image but it may cause losing information such as edges and contrast. So, a dynamic technique which can process image and noise parameters separately is needed. Therefore, the proposed method uses de-noising and edge enhancing technique separately on noisy image. After this process, image fusion is used to combine these images and a final de-noised image is obtained. The processed image has been found to be satisfactory to diagnose medical conditions better than existing versions.

Keywords- Speckle Noise,Medical Images,Image Processing

Unique Identification Number - IJEDR1904061
Page Number(s) - 348-350
Pubished in - Volume 7 | Issue 4 | October 2019
DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.22736
Publisher - IJEDR (ISSN - 2321-9939)

  Balineni Sriya,  Akshatha Shenoy,  Anubha Sharma,   "Reduction of Speckle Noise in Medical Images", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 4, pp.348-350, October 2019, Available at :http://www.ijedr.org/papers/IJEDR1904061.pdf