Analysis of Different Filters for Image Despeckling : A Review
Main Article Content
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.
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.