Jump to Content

BLADE: Filter Learning for General Purpose Image Processing

John Isidoro
Sungjoon Choi
Frank Ong
International Conference on Computational Photography (2018)
Google Scholar

Abstract

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.

Research Areas