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ECCV
2010
Springer

A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation

13 years 4 months ago
A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation
Although the recent advances in the sparse representations of images have achieved outstanding denosing results, removing real, structured noise in digital videos remains a challenging problem. We show the utility of reliable motion estimation to establish temporal correspondence across frames in order to achieve high-quality video denoising. In this paper, we propose an adaptive video denosing framework that integrates robust optical flow into a non-local means (NLM) framework with noise level estimation. The spatial regularization in optical flow is the key to ensure temporal coherence in removing structured noise. Furthermore, we introduce approximate K-nearest neighbor matching to significantly reduce the complexity of classical NLM methods. Experimental results show that our system is comparable with the state of the art in removing AWGN, and significantly outperforms the state of the art in removing real, structured noise. Key words: Video denoising, structured noise, approximate...
Ce Liu, William T. Freeman
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where ECCV
Authors Ce Liu, William T. Freeman
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