Open Access Open Access  Restricted Access Subscription or Fee Access

A Fuzzy Rule based Hybrid Approach for Speckle Reduction in Digital Images

Ankita Katiyar, S. Vijayakumar, V. Santhi

Abstract



In this paper, a method is proposed to eliminate speckle noise which usually affects medical images such as ultrasounds and Synthetic Aperture Radar (SAR) images. Speckle noises are multiplicative in nature. Noise removal is one of the most important steps in the field of image processing as it removes unwanted data and preserves information from the images that are actually useful. The method used in this experiment works in two phases. The first phase uses a fuzzy inference system to classify the image into various regions using coefficient of variance and gradient magnitude as inputs and the second phase involves applying different fuzzy based filters to the regions so as to provide edge preservation while suppressing speckle noise. Fuzzy logic based technique is used because of its ability to accommodate inexact and approximate data instead of crisp values. The results of the experiment are evaluated using metrics such as Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM).

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.