Research and Application of Image Denoising Method Based on Curvelet Transform

The images usually bring different kinds of noises in process of receiving, coding and transmission. The curvelet transform is one kind of new multi-scale transform after 1999 that is based on wavelet transform, whose structural elements include the parameters of dimension and location, and orientation parameter more, which let curvelet transform has good orientation characteristic. Therefore, curvelet transform is superior to wavelet in the expression of image edge, such as geometry characteristic of curve and beeline, which has already obtained good research results in image denoising. This paper puts forward an improved method based on curvelet transform because certain regions of the image have the ringing and radial stripe after curvelet transform. The experimental results indicate that the improved curvelet transform has a abroad future for eliminating the noise of images. It suits not only the ordinary visual image, but also remote sensing image.