期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：5
页码：8575
DOI：10.15680/IJIRSET.2016.0505279
出版社：S&S Publications
摘要：Speckle noise is a type of granular noise that inherently exists in and degrades the quality of ultrasoundimages. Speckle noise tends to reduce the resolution and contrast thereby degrades the diagnostic accuracy of thismodality. It was one of the most important processes to enhance the quality of ultrasound images. This paper proposedcomparison of four types of filters such as Edge Enhanced Modified Lee filter, Modified Kuan filter, Fast Bilateralfilter, Adaptive centre pixel Weighted Median Exponential filter (ACPWMEF). These filters are tested on Ultrasoundimage and Synthetic Aperture radar image. Effectiveness of the proposed filter is compared on the basis of StructureSimilarity Index (SSI), Image Quality Index (IQI), Peak Signal to Noise Ratio (PSNR), Root Mean Square Error(RMSE), and Edge Preservation Factor (EPF) by using Matlab tool R2013a. The experimental results demonstrate thatthe proposed ACPWMEF can reduce the speckle noise effectively without blurring the edges and gives betterqualitative and quantitative results compared to Existing Filtering Techniques.
关键词：Structure similarity index; Effective number of looks; Pearson correlation coefficient; EEMLF; MKF;FBF; ACPWMEF.
