Wavelet-based Method For Speckle Reduction In Medical Ultrasound Image

Ultrasound image diagnosis is an important medical image diagnosis means like x-ray CT, isotope scanning and MRI to facilitate manual or computer-aids analysis. Ultrasonic imaging has been widely applied in clinic diagnoses because of its real-time visualization, non-invasiveness, low price and convenience. However, it suffers from severe speckle noises. The quality of medical ultrasonic image should be improved for image analysis. Image denoise is the common-used method to improve the quality. Until now, a lot of denoise algorithms have been proposed, including median filter, wiener filter, MSSNT—A and anisotropic diffusion based filters. The quality of the image is improved to some extent, and to satisfy some determinate applications. However, they do not solve the defects of the ultrasound medical image radically. According to the ultrasonic medical image noise model put forward by Jain, it can be deduced that speckle is multiply mixed with tissue structure signal, so ultrasonic medical image speckle removal is a complex and difficult work.Wavelet transform is a nee signal and image processing tool developed in recent years. The wavelet analysis has excellent time and frequency feature, which hand a promising application in image de-noising and enhancement, it make the field full of vitality force.Ultrasound image de-noising is a pre-processing step in its processing, and it is also the premise of disease recognition and analysis. It is important to research on ultrasonic image speckle removal. At first the present state of research on speckle removal is introduced in this paper, then we make a brief description of theoretical...