针对目前最新发展的Bandelet变换的特点，本文提出了基于第二代Bandelet变换的彩色图像去噪算法，充分利用彩色图像内在的几何正则性，自适应获得彩色图像的最优表示，通过噪声强度设置阈值，并利用软阈值函数实现彩色图像去噪。通过MATLAB实验结果表明，使用该算法去噪后的彩色图像,无论在主观视觉效果上还是客观质量指标上都比小波和第一代Bandelet算法有显著提高。

In this paper，we propose a color image denoising algorithm based on the second generation Bandelet transform to aim at the latest development of the characteristics of the Bandelet transform. The algorithm takes full advantage of the inherent geometry regularity of color images, gets the optimization expression, sets the threshold using noise intensity, and realizes color image denoising using the softthreshold function. The experimental results in the MATLAB tool show that the color image processed by this algorithm improves more effectively than wavelet and the first generation Bandelet algorithm both in subjective visual and objective quality targets.