Filtering Techniques to reduce Speckle Noise and Image Quality Enhancement methods on Satellite Images

  • Raju S
N/ACitations
Citations of this article
32Readers
Mendeley users who have this article in their library.

Abstract

Noise in images is the vital factor which degrades the quality of the images. Reducing noise from the satellite images, medical images etc., is a challenge for the researchers in digital image processing. Several approaches are there for noise reduction. Generally speckle noise is commonly found in Synthetic Aperture Radar (SAR) satellite images and medical images. This research paper put forward some of the filtering techniques for the removal of speckle noise from the satellite images, which enhances the quality of the images. Although many filters are available for speckle reduction, some filters are best suited for SAR images are used for which the statistical parameters are calculated for the output images obtained from all the filters. The statistical measures SNR, PSNR, RMSE and CoC are compared. The output images corresponding to the best statistical values are displayed along with the filters name and corresponding values of the statistical measures.

Cite

CITATION STYLE

APA

Raju, S. (2013). Filtering Techniques to reduce Speckle Noise and Image Quality Enhancement methods on Satellite Images. IOSR Journal of Computer Engineering, 15(4), 10–15. https://doi.org/10.9790/0661-1541015

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free