Fast Noise Level Estimation using a Convergent Multiframe Approach

Abstract

Image denoising is one of the most recurrent problems to face in the design of image generation pipelines. This paper proposes a novel method for the estimation of the noise level in images contaminated by additive white Gaussian noise (AWGN). The estimated noise level is updated on a frame basis allowing convergence to the optimal value. At the same time, dynamic adjustment to changing noise levels is permitted. The proposed technique has been successfully implemented in a real system, demonstrating the validity of the proposed solution.

DOI: 10.1109/ICIP.2006.313047

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Cite this paper

@article{Bosco2006FastNL, title={Fast Noise Level Estimation using a Convergent Multiframe Approach}, author={Angelo Bosco and Arcangelo Bruna and Stewart Smith and Valeria Tomaselli}, journal={2006 International Conference on Image Processing}, year={2006}, pages={2621-2624} }