Search Results for author: Pingfan Song

Found 6 papers, 2 papers with code

Light-Field Microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches

no code implementations24 Oct 2021 Pingfan Song, Herman Verinaz Jadan, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti

This paper is devoted to a comprehensive survey to state-of-the-art of computational methods for LFM, with a focus on model-based and data-driven approaches.

Multimodal Image Denoising based on Coupled Dictionary Learning

no code implementations26 Jun 2018 Pingfan Song, Miguel R. D. Rodrigues

The first stage performs joint sparse transform for multimodal images with respect to a group of learned coupled dictionaries, followed by a shrinkage operation on the sparse representations.

Dictionary Learning Image Denoising

Multi-modal Image Processing based on Coupled Dictionary Learning

no code implementations26 Jun 2018 Pingfan Song, Miguel R. D. Rodrigues

In real-world scenarios, many data processing problems often involve heterogeneous images associated with different imaging modalities.

Denoising Dictionary Learning +1

Coupled Dictionary Learning for Multi-contrast MRI Reconstruction

1 code implementation26 Jun 2018 Pingfan Song, Lior Weizman, Joao F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues

In this paper, we propose a Coupled Dictionary Learning based multi-contrast MRI reconstruction (CDLMRI) approach to leverage an available guidance contrast to restore the target contrast.

Denoising Dictionary Learning +1

Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries

1 code implementation25 Sep 2017 Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues

This paper proposes a new approach to construct a high-resolution (HR) version of a low-resolution (LR) image given another HR image modality as reference, based on joint sparse representations induced by coupled dictionaries.

Dictionary Learning Image Super-Resolution

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