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Image denoising is one of the most critical problems in mobile photoprocessing. While many solutions have been proposed for this task, they areusually working with synthetic data and are too computationally expensive torun on mobile devices. To address this problem, we introduce the first MobileAI challenge, where the target is to develop an end-to-end deep learning-basedimage denoising solution that can demonstrate high efficiency on smartphoneGPUs. For this, the participants were provided with a novel large-scale datasetconsisting of noisy-clean image pairs captured in the wild. The runtime of allmodels was evaluated on the Samsung Exynos 2100 chipset with a powerful MaliGPU capable of accelerating floating-point and quantized neural networks. Theproposed solutions are fully compatible with any mobile GPU and are capable ofprocessing 480p resolution images under 40-80 ms while achieving high fidelityresults. A detailed description of all models developed in the challenge isprovided in this paper.

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report