Fusion Based Gaussian noise Removal in the Images using Curvelets and Wavelets with Gaussian Filter

Denoising images using Curvelet transform approach has been widely used in many fields for itsability to obtain high quality images. Curvelet transform is superior to wavelet in the expression ofimage edge, such as geometry characteristic of curve, which has been already obtained goodresults in image denoising. However artifacts those appear in the result images of Curveletsapproach prevent its application in some fields such as medical image. This paper puts forward afusion based method using both Wavelets and Curvelet transforms because certain regions of theimage have the ringing and radial stripe after Curvelets transform. The experimental resultsindicate that fusion method has an abroad future for eliminating the noise of images. The resultsof the algorithm applied to ultrasonic medical images indicate that the algorithm can be usedefficiently in medical image fields also.