Google Research

Real-Time Video Denoising on Mobile Phones

International Conference on Image Processing, IEEE (2018) (to appear)

Abstract

We present an algorithm for real-time video denoising on mobile platforms. Based on Gaussian-Laplacian pyramid de-composition, our solution’s main contributions are fast alignment and a new interpolation function that fuses noisy frames into a denoised result. The interpolation function is adaptive to local and global properties of the input frame, robust to motion alignment errors, and can be computed efficiently. We show that the proposed algorithm has comparable quality to offline high-quality video denoising methods, but is orders of magnitude faster. On a modern mobile platform, our work takes less than 20ms to process one HD frame, and it achieves the highest score on a public benchmark.

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