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：2015
期号：MULTICON
页码：748
出版社：S&S Publications
摘要：Image denoising has become a very essential exercise all through the diagnosis especially in case ofmedical image processing involving ultrasound. Speckle pattern is one of the most complicated multiplicative noisewhich hardly degrades visual quality of clinical ultrasound images. Real time ultrasound images posses inheritedspeckle pattern which reduces its resolution and contrast there by degrading the diagnostic accuracy of the ultrasoundimage. The presence of speckle noise in fetal ultrasound images make the conditions worse to carry out prenataldiagnosis of congenital heart disease. This is due to the impact of edge and local fine details that are not very clear fordiagnosis. There exists an ever growing research demand for contriving a robust speckle reduction filter to enhance thequality of the speckle affected image and to preserve the essential features. This paper describes about the proposeddespeckling filter contrived with the concept of Particle Swarm Optimization of weight parameters to improve thealgorithm of Quadrilateral Rayleigh Maximum Likelihood Estimator to suppress the speckle noise in clinicalultrasound images. The proposed filter establishes the Rayleigh Maximum Likelihood Estimator and particle swarmoptimization technique hence called as PSO based QRML filter. The experimental result shown in this paper proves theefficacy of the proposed filter in comparison with several existing despeckling filters in terms several performanceindices and image profile. Experimental results shows that the proposed filter removes the speckle noise effectively andthus outshine the conventional filters.
