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Noise Reduction in Ultrasonic B-Mode Images Using Discrete Wavelet Transform and Complex Log Gabor Filters
Abstract
Noise in ultrasonic B-mode images adversely impacts the contrast and resolution of the images. This poses serious problems in the interpretation of B-mode images of internal organs such as breast, liver, kidney and so on. In this paper, a proposed approach for noise reduction in ultrasonic images using both the Discrete Wavelet Transform (DWT) and Complex Log Gabor filters is presented. This approach removes additive White Gaussian noise, Speckle noise and Impulsive noise as well as it enhances the quality of images. The approach consists of three main stages of processing, namely, the Discrete Haar Wavelet Transformation of the noisy ultrasonic image, then passing through Complex Log Gabor filtering and thresholding. The proposed approach experimental results demonstrate an improved denoising performance compared to the related earlier techniques
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References
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