2 citations · 5 across the 4 of their papers we have counts for
6 papers
A Study of the Limits of Collaborative DCT-Based Image Denoising via Interpretable Neural Networks
Cristian Comellas, Julia Navarro, Antoni Buades
Image denoising remains a fundamental problem in image restoration, with applications in photography, biomedical, and scientific imaging. Modern deep neural networks achieve strong…
Joint denoising and HDR for RAW video sequences
A. Buades, O. Martorell, M. Sánchez-Beeckman
We propose a patch-based method for the simultaneous denoising and fusion of a sequence of RAW multi-exposed images. A spatio-temporal criterion is used to select similar patches a…
Efficient joint noise removal and multi exposure fusion
A. Buades, J. L Lisani, O. Martorell
Multi-exposure fusion (MEF) is a technique for combining different images of the same scene acquired with different exposure settings into a single image. All the proposed MEF algo…
CFA Bayer image sequence denoising and demosaicking chain
Antoni Buades, Joan Duran
The demosaicking provokes the spatial and color correlation of noise, which is afterwards enhanced by the imaging pipeline. The correct removal previous or simultaneously with the…
Accurate Motion Estimation through Random Sample Aggregated Consensus
Martin Rais, Gabriele Facciolo, Enric Meinhardt-Llopis +3
We reconsider the classic problem of estimating accurately a 2D transformation from point matches between images containing outliers. RANSAC discriminates outliers by randomly gene…
A Survey of Pansharpening Methods with A New Band-Decoupled Variational Model
Joan Duran, Antoni Buades, Bartomeu Coll +2
Most satellites decouple the acquisition of a panchromatic image at high spatial resolution from the acquisition of a multispectral image at lower spatial resolution. Pansharpening…