PERFORMANCE ANALYSIS OF COLOR IMAGE DENOISING USING CURVELET TRANSFORM BASED TECHNIQUE

In this paper we propose a new method to reduce noise in color image. The images corrupted by Gaussian Noise is still a classical problem. To reduce the noise or to improve the quality of image we have used different parameters. The proposed method succeeded in providing improved image denoising performance to recover the shape of edges and important detailed components. The experimental results proved that the proposed technique can obtain a better image estimate than the curvelet transform based restoration methods.