Gaussian noise in color images is difficult to remove. We propose a denoising method by combining chrominance median filter based on chrominance model and Bayes multi-threshold filter in the curvelet transform domain. The method converts RGB images to HSI images first. The noise in the H and S components is filtered by searching chrominance median in the chrominance plane. Then

the noise in the I component is removed by using Bayes multi-threshold filter in the cycle spinning curvelet domain. Finally

the denoised color images are produced through the HSI inverse transformation. The contrast experiment results indicate that while achieving higher PSNR

the proposed method can better preserve the color images’ chrominance

intensity as well as texture information

while avoiding yielding artifact effect for Gaussian noise removal in color images.