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arXiv · 1711.10700

BLADE: Filter Learning for General Purpose Computational Photography

Pascal Getreuer·Ignacio Garcia-Dorado·John Isidoro·Sungjoon Choi·Frank Ong·Peyman Milanfar
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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 problems in computational photography. We show applications to operations which may appear in a camera pipeline including denoising, demosaicing, and stylization.

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Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, Peyman Milanfar. 2017-11-29. BLADE: Filter Learning for General Purpose Computational Photography. https://arxiv.org/abs/1711.10700

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