A method based on Curvelet transform for color image denoising

This paper presents an algorithm of color image denoising based on the YCbCr color space and the second generation Curvelet transform. The wavelet transform has inherent defects in describing directional characteristics of color picture edge. The new algorithm overcomes these defects and is more suitable for analyzing the edge characteristic of curves or straight lines in two-dimensional image. It has better approaching accuracy and spares ability of expression. Through the Matlab software for color image simulation, results show that, this algorithm is superior to wavelet algorithm either in the visual effects or in the performance criteria. It is better in protecting the image detail information and obtaining higher PSNR value.