1. An image denoising method, comprising: acquiring image data of an image; performing wavelet decomposition on at least one component of three components of the image data, to obtain a high frequency wavelet coefficient and a low frequency wavelet coefficient of each component, wherein the three components of the image data comprises a luminance component y and chrominance components u and v; performing recursive denoising on the low frequency wavelet coefficient of each component, to obtain a denoised low frequency wavelet coefficient of each component; performing wavelet reconstruction according to the high frequency wavelet coefficient of each component and the denoised low frequency wavelet coefficient of each component, to obtain at least one denoised component; combining the three denoised components to obtain denoised image data when at least one denoised component is three components; and combining at least one denoised component with the other one or two components of the three components to obtain denoised image data when at least one denoised component is one or two components.