Astrometry with reconstructed hubble space telescope planetary camera (WF/PC 1) images. - Terrence M. Girard; Yu Li; William F. Van Altena; Jorge Núñez; Albert Prades (Int. J. Imaging Syst. Technol., 1995)

Image reconstruction and restoration in astronomy. - Jorge Núñez (Int. J. Imaging Syst. Technol., 1995)

Multiresolution-based image fusion with additive wavelet decomposition. - Jorge Núñez; Xavier Otazu; Octavi Fors; Albert Prades; Vicenç Palà; Román Arbiol (IEEE Trans. Geosci. Remote. Sens., 1999)

Image restoration in astronomy: a Bayesian perspective. - Rafael Molina 001; Jorge Núñez; Francisco J. Cortijo; Javier Mateos (IEEE Signal Process. Mag., 2001)

Astronomical image segmentation by self-organizing neural networks and wavelets. - Jorge Núñez; Jorge Yacer (Neural Networks, 2003)

A multiresolution-based method for the determination of the relative resolution between images: First application to remote sensing and medical images. - Jorge Núñez; Xavier Otazu; Maria Teresa Merino (Int. J. Imaging Syst. Technol., 2005)

Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods. - Xavier Otazu; María González-Audícana; Octavi Fors; Jorge Núñez (IEEE Trans. Geosci. Remote. Sens., 2005)

A Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images. - Jorge Núñez; Octavi Fors; Xavier Otazu; Vicenç Palà; Román Arbiol; Maria Teresa Merino (IEEE Trans. Geosci. Remote. Sens., 2006)

Super-Resolution of remotely sensed images using SRVPLR and SRASW. - Maria Teresa Merino; Jorge Núñez (IGARSS, 2007)

Super-Resolution of Remotely Sensed Images With Variable-Pixel Linear Reconstruction. - Maria Teresa Merino; Jorge Núñez (IEEE Trans. Geosci. Remote. Sens., 2007)

Using Image Deconvolution to Increase the Ability to Detect Stars and Faint Orbital Objects in CCD Imaging. - Jorge Núñez; Octavi Fors; Albert Prades (ICDIP, 2009)

Improving the Ability of Image Sensors to Detect Faint Stars and Moving Objects Using Image Deconvolution Techniques. - Octavi Fors; Jorge Núñez; Xavier Otazu; Albert Prades; Robert D. Cardinal (Sensors, 2010)

A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions. - Guillaume de Romémont; Florent Renac; Jorge Núñez; Francisco Chinesta (CoRR, 2024)

Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations. - Guillaume de Romémont; Florent Renac; Francisco Chinesta; Jorge Núñez; D. Gueyffier (CoRR, 2025)