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Ultrasound images are normally affected by speckle noise which is due to the coherent nature of scattering phenomenon. Speckle filtration is accompanied with loss of diagnostic features. Despeckling techniques are to reduce the speckle noise in Ultrasound images, provided that the structural features and edges. This paper gives detailed information regaurding discriminating power of the various multiresolution based thresholding techniques i.e. Wavelet, curvelet for denoise the image. Curvelet transform offer exact reconstruction, ease of implementation, stability against perturbation, and low computational complexity. Finally these two methods are compared and the performance are verified by quality metric analysis.

Analysis of Ultrasound Image Using Wavelet And Curvelet Transform