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

International Journal of Image Processing

Naga Sravanthi Kota¹  G. Umamaheswara Reddy¹ 

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关键词: Gaussian Filtering;    Wavelet Transform;    Curvelets Transform;    Image Fusion;    Denoising;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

Curvelets denoise approach has been widely used in many fields for its ability to obtain high quality result images.Curvelet transform is superior to wavelet in the expression of image edge, such as geometry characteristic of curve, which has already obtained good results in image denoising. However artifacts those appear in the result images of Curvelets approach prevent its application in some fields such as medical image. This paper puts forward a fusion based method because certain regions of the image have the ringing and radial stripe after Curvelets transform. The experimental results indicate that fusion method has an abroad future for eliminating the noise of images. The results of the algorithm applied to ultrasonic medical images also indicate that the algorithm can be used efficiently in medical image fields.

【 授权许可】

Unknown