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Exploiting Temporal Attention Features for Effective Denoising in Videos

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Document pages: 10 pages

Abstract: Video Denoising is one of the fundamental tasks of any videoprocessingpipeline. It is different from image denoising due to the tem-poral aspects ofvideo frames, and any image denoising approach appliedto videos will result inflickering. The proposed method makes use oftemporal as well as spatialdimensions of video frames as part of a two-stage pipeline. Each stage in thearchitecture named as Spatio-TemporalNetwork uses a channel-wise attentionmechanism to forward the encodersignal to the decoder side. The Attention Blockused in this paper usessoft attention to ranks the filters for better training.

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