BLADE: Filter Learning for General Purpose Image Processing
نویسندگان
چکیده
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, Isidoro, and Milanfar is a computationally efficient image upscaling method using a trained set of filters. We describe a generalization of RAISR, which we name Best Linear Adaptive Enhancement (BLADE). This approach is a trainable edge-adaptive filtering framework that is general, simple, computationally efficient, and useful for a wide range of image processing problems. We show applications to denoising, compression artifact removal, demosaicing, and approximation of anisotropic diffusion equations.
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عنوان ژورنال:
- CoRR
دوره abs/1711.10700 شماره
صفحات -
تاریخ انتشار 2017