Image Denoising Techniques a Comparative Study

The growth of media communication industry and demand of high quality of visual information in modern age has open an interest to researcher to develop varies method of image denoising based on different best techniques. The visual information transmitted in form of image is naturally corrupted by Gaussian noise which is classical problem in image processing. This additive random noise can be removed using wavelet denoising technique due to the ability to capture the energy of a signal in few energy transform values. In this paper, an comparison has been made on suitability methods of image denoising to remove noise using different techniques. The performance of the image denoising is shown in terms of PSNR and visual performance. The result shown curvelet transform gave better PSNR and visual performance than wavelet transform and other methods.