Search Results for author: Luke Pfister

Found 4 papers, 2 papers with code

A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging

1 code implementation6 Nov 2019 Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal, Luke Pfister, Rohit Bhargava

Infrared (IR) microscopes measure spectral information that quantifies molecular content to assign the identity of biomedical cells but lack the spatial quality of optical microscopy to appreciate morphologic features.

Image Super-Resolution

Learning Filter Bank Sparsifying Transforms

no code implementations6 Mar 2018 Luke Pfister, Yoram Bresler

We show that many existing transform and analysis sparse representations can be viewed as filter banks, thus linking the local properties of patch-based model to the global properties of a convolutional model.

Image Denoising

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising

1 code implementation ICCV 2017 Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler

In this work, we propose a novel video denoising method, based on an online tensor reconstruction scheme with a joint adaptive sparse and low-rank model, dubbed SALT.

Denoising online learning +1

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