Noise Level Estimation Based on Block SVD
Wei Liu, Xishan Zeng · 2020
Noise level estimation is crucial in many image processing applications, such as blind image denoising. In this paper, a block SVD based noise level estimation method is proposed, which aims to reduce the computation complexity of the existing SVD domain algorithm and ensure the accuracy and stability of the estimate results at the same time. Extensive experimental results show that the proposed method can reliably estimate the noise level for a variety of image types, and according to simulation results, the new algorithm can reduce the computation complexity greatly in comparison with the existing method in SVD domain.