VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising.

IEEE Transactions on Image Processing(2019)

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摘要
Techniques exploiting the sparsity of images in a transform domain are effective for various applications in image and video processing. In particular, transform learning methods involve cheap computations and have been demonstrated to perform well in applications, such as image denoising and medical image reconstruction. Recently, we proposed methods for online learning of sparsifying transforms ...
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关键词
Transforms,Streaming media,Noise reduction,Three-dimensional displays,Heuristic algorithms,Adaptation models,Tensile stress
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