关键词: 图像去噪, 双侧滤波, 短时傅里叶变换, 双域滤波, 非平稳噪声

Abstract: Different from single-domain image denoising, dual-domain image denoising effectively combines two sorts of algorithms working in their respective domains together for preserving image details and suppressing noise simultaneously. However, the variance of image is a prerequisite for the dual-domain image donoising, which is hard to be determined accurately in a practical application. As for the dual-domain filtering constructed specifically on the basis of bilateral filtering and short-time Fourier transform (STFT), this paper carries out three aspects of work: (1) Estimating the noise image by subtracting dual-domain denoised image to noisy image; (2) Estimating the variance of non-stationary noise on the basis of weighting coefficients of bilateral filtering; (3) Adapting dual-domain filtering to the case of non-stationary noise. The experimental results and related quantitative analysis demonstrate that the proposed adaptive dual-domain filtering can more effectively suppress image noise while retaining image details.

Key words: image denoising, bilateral filtering, short-time Fourier transform, dual-domain filtering, non-stationary noise