Review Paper on Comparative Analysis of Denoising Technique Such As Curvelet and Wavelet Transform

The images usually bring different kinds of noises in process of receiving, coding & transmission. Image denoising has been a fundamental problem in field of image processing. The growth of media communication industry and demand of high quality of visual information has opened the doors for researchers to develop various method of denoising. 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. Therefore, curvelet transform is superior to wavelet in the expression of image edge, such as geometric characteristic of curve and beeline.The images usually bring different kinds of noises in process of receiving, coding & transmission. Image denoising has been a fundamental problem in field of image processing. The growth of media communication industry and demand of high quality of visual information has opened the doors for researchers to develop various method of denoising. 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. Therefore, curvelet transform is superior to wavelet in the expression of image edge, such as geometric characteristic of curve and beeline.