文章基本信息

标题：WAVELET THRESHOLDING AND FUSION FOR ULTRASOUND MEDICAL IMAGE DE-NOISIING
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作者：P.V.V.KISHORE ; S.R.C.KISHORE ; A.S.C.S.SASTRY 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：66
期号：2
出版社：Journal of Theoretical and Applied
摘要：Ultrasound medical images are a source of visual information regarding the health condition of human body. This non invasive diagnostics technique is most widely used by doctors around the globe has been in use for quite some time now. However, the ultrasound medical image quality is severely hampered due to the presence of speckle components that invade the ultrasound image. Noise presence in ultrasound images greatly reduces the visual information related to internal body parts. This research proposes wavelet based soft and hard thresholding techniques for removing speckle noise form ultrasound medical images. Thresholding operation is a global processing technique which will damage the objects of interest in the US images. To restore the lost visual quality due to global thresholding, wavelet based fusion of original ultrasound image and thresholded ultrasound image is performed. This procedure restores the lost object information in the thresholded ultrasound images. Evaluation of fusion rules for the proposed process is done using fusion factor and fusion symmetry. The overall performance of the proposed techniques is computed using mean square error (mse) and peak signal to noise ratio (psnr).
关键词：Ultrasound Medical Image; Speckle Noise; Discrete Wavelet Transform (DWT); Soft and Hard Thresholding; Wavelet based Fusion.