Despeckling Algorithm on Ultrasonic Image Using Adaptive Block-Based Singular Value Decomposition
作者单位：King Mongkut’s Institute of Technology Ladkrabang Faculty of Engineering Information Engineering Department Bangkok Thailand
会议名称：《2007亚洲光电子会议电子成像与多媒体技术分会场》
会议日期：2007年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
关 键 词：Ultrasonic image SVD Despeckling singular value thresholding speckle noise speckle denoising
摘 要：Speckle noise reduction is an important technique to enhance the quality of ultrasonic image. In this paper, a despeckling algorithm based on an adaptive block-based singular value decomposition filtering (BSVD) applied on ultrasonic images is presented. Instead of applying BSVD directly to ultrasonic image, we propose to apply BSVD on the noisy edge image version obtained from the difference between the logarithmic transformations of the original image and blur image version of its. The recovered image is performed by combining the speckle noise-free edge image with blur image version of its. Finally, exponential transformation is applied in order to get the reconstructed image. To evaluate our algorithm compared with well-know algorithms such as Lee filter, Kuan filter, Homomorphic Wiener filter, median filter and wavelet soft thresholding, four image quality measurements, which are Mean Square Error (MSE), Signal to MSE (S/MSE), Edge preservation ( ), and Correlation measurement ( ), are used. From the results, it clearly shows that the proposed algorithm outperforms other methods in terms of quantitative and subjective assessments.