Analysis of Different Filters for Image Despeckling : A Review

Main Article Content

Vanmala, Harpreet Kaur


Digital image acquisition and processing in clinical diagnosis plays a significant part. Medical images at the time of acquisition can be corrupted via noise. Removal of this noise from images is a challenging problem. The presence of signal dependent noise is referred as speckle which degrades the actual quality of an image. Considering, several techniques have been developed focused on speckle noise reduction. The primary purpose of these techniques was to improve visualization of an image followed by preprocessing step for segmentation, feature extraction and registration. The scope of this paper is to provide an overview of despeckling techniques.

Article Details

How to Cite
, V. H. K. “Analysis of Different Filters for Image Despeckling : A Review”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 2, Feb. 2018, pp. 105-10, doi:10.17762/ijritcc.v6i2.1431.