Denoising Of Ultrasonographic Images Using DTCWT
Anil Dudy, Kanwaljit Singh · 2012
Digital image acquisition and processing pays a very important role in current medical diagnosis techniques. Medical images are corrupted by noise in its acquisition and transmission process. Ultrasound has historically suffered from an inherent imaging artifact known as speckle. Speckle significantly degrades the image quality. It makes it more difficult for observer to discriminate fine details of the images in diagnostic examination. Dual tree complex wavelet transform is an efficient method for denoising of ultrasound images. It not only reduces the speckle noise but also preserves the detail features of image. In this paper denoising of ultrasound images has been performed using Dual tree complex wavelet transform. In experimental analysis, it is found that the performance in terms of PSNR for a set of acquired medical images brain and mammogram is better with DTCWT as compared to the performance with DWT.