BLADE: Filter Learning for General Purpose Image Processing
Pascal Getreuer, Ignacio Garcia‐Dorado, John R. Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar · 2018
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.