Publications

An up-to-date list is available in my Google Scholar.

2024
  1. A comprehensive overview of satellite image fusion: From classical model-based to cutting-edge deep learning approaches
    Pereira-Sánchez, I., Sans, E., Navarro, J.,  and Duran, J.
    In Super Resolution for Remote Sensing, Springer Nature, 2024

  2. A simple nonlocal back-projection unfolded network for pansharpening
    Pereira-Sánchez, I., Sans, E., Navarro, J.,  and Duran, J.
    In Proceedings of the International Conference on Machine Intelligence for Geoanalytics and Remote Sensing (MIGARS), Wellington, New Zealand, 2024

  3. Improving marine litter segmentation with limited resolution satellite imagery
    Costa, A., Sans, E., Pereira-Sánchez, I.,  Duran, J.,  and Navarro, J.
    In Proceedings of the International Conference on Machine Intelligence for Geoanalytics and Remote Sensing (MIGARS), Wellington, New Zealand, 2024

  4. Two nonlocal variational models for Retinex image decomposition
    Hammond, F.W., Sbert, C.,  and Duran, J.
    In Proceedings of the International Conference on Computer Vision, Theory and Applications (VISAPP), Rome, Italy, 2024

  5. Beyond variational models and self-similarity in super-resolution: Unfolding models and multi-head attention
    Pereira-Sánchez, I., Sans, E., Navarro, J.,  and Duran, J.
    In Proceedings of the International Conference on Computer Vision, Theory and Applications (VISAPP), Rome, Italy, 2024

  6. Combining total variation and nonlocal variational models for low-light image enhancement
    Torres, D., Sbert, C.,  and Duran, J.
    In Proceedings of the International Conference on Computer Vision, Theory and Applications (VISAPP), Rome, Italy, 2024

2023
  1. Deep unfolding for hypersharpening using a high-frequency injection module
    Mifdal, J., Tomás-Cruz, M., Sebastianelli, A., Coll, B.,  and Duran, J.
    In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Earthvision Workshop, Vancouver, Canada, 2023

  2. End-to-end shallow network for variational pansharpening
    Tomás-Cruz, M., Mifdal, J., Coll, B.,  and Duran, J.
    In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, USA, 2023

2022
  1. What if image self-similarity can be better exploited in data fidelity terms?
    Pereira-Sánchez, I., Navarro, J.,  and Duran, J.
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022

2021
  1. Variational fusion of hyperspectral data by non-local filtering
    Mifdal, J., Coll, B., Froment, J.,  and Duran, J.
    Mathematics, vol. 9, pp. 1265, 2021

  2. Variational densification and refinement of registration maps
    Duran, J.Navarro, J.,  and Buades, A.
    SIAM Journal on Imaging Sciences, vol. 14, pp. 879–912, 2021

2019
  1. CFA video denoising and demosaicking chain via spatio-temporal patch-based filtering
    Buades, A.,  and Duran, J.
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, pp. 4143–4157, 2019

  2. Motion-compensated spatio-temporal filtering for multi-image and multimodal super-resolution
    Buades, A.Duran, J.,  and Navarro, J.
    International Journal of Computer Vision, vol. 127, pp. 1474–1500, 2019

2018
  1. Restoration of pansharpened images by conditional filtering in the PCA domain
    Duran, J.,  and Buades, A.
    IEEE Geoscience and Remote Sensing Letters, vol. 16, pp. 442–446, 2018

  2. Joint denoising and demosaicking of raw video sequences
    Buades, A.,  and Duran, J.
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018

  3. A variational formulation for hyperspectral and multispectral image fusion
    Mifdal, J., Coll, B.,  and Duran, J.
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018

2017
  1. A survey of pansharpening methods with a new band-decoupled variational model
    Duran, J.Buades, A., Coll, B., Sbert, C.,  and Blanchet, G.
    ISPRS Journal of Photogrammetry and Remote Sensing, vol. 125, pp. 78–105, 2017

  2. Flow based video super-resolution with spatio-temporal patch similarity
    A., Buades,  and Duran, J.
    In Proceedings of the British Machine Vision Conference (BMVC), London, UK, 2017

  3. Nonlocal regularizing constraints in variational optical flow
    Duran, J.,  and Buades, A.
    In Proceedings of the International Conference on Computer Vision, Theory and Applications (VISAPP), Porto, Portugal, 2017

2016
  1. Pansharpening by a nonlocal channel-decoupled variational method
    Duran, J.Buades, A., Coll, B., Sbert, C.,  and Blanchet, G.
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), Phoenix, USA, 2016

  2. Collaborative total variation: A general framework for vectorial TV models
    Duran, J.Moeller, M.Sbert, C.,  and Cremers, D.
    SIAM Journal on Imaging Sciences, vol. 9, pp. 116–151, 2016

2015
  1. A novel framework for nonlocal vectorial total variation based on l^p,q,r norms
    Duran, J.Moeller, M.Sbert, C.,  and Cremers, D.
    In Proceedings of the International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Hong Kong, 2015

  2. Half-linear regularization for nonconvex image restoration models
    Coll, B.,  Duran, J.,  and Sbert, C.
    Inverse Problems and Imaging, vol. 9, pp. 337–370, 2015

2014
  1. An algorithm for nonconvex functional minimization and applications to image restoration
    Coll, B.,  Duran, J.,  and Sbert, C.
    In Proceedings of the IEEE International Conference on Image Processing (ICIP), Paris, France, 2014

  2. Self-similarity and spectral correlation adaptive algorithm for color demosaicking
    Duran, J.,  and Buades, A.
    IEEE Transactions on Image Processing, vol. 23, pp. 4031–4040, 2014

  3. A nonlocal variational model for pansharpening image fusion
    Duran, J.Buades, A., Coll, B.,  and Sbert, C.
    SIAM Journal on Imaging Sciences, vol. 7, pp. 761–796, 2014

2013
  1. Chambolle’s projection algorithm for total variation denoising
    Duran, J., Coll, B.,  and Sbert, C.
    Image Processing On Line, vol. 3, pp. 301–321, 2013