Buades Rubio, J.M.[Jose Maria]
* 2006: Upper Body Tracking for Interactive Applications
Includes: Buades Rubio, J.M.[Jose Maria] Buades Rubio, J.M.[José María]
Buades, A.[Antoni]
* 1900: review of image denoising algorithms, with a new one, A
* 2005: Denoising image sequences does not require motion estimation
* 2005: Non-Local Algorithm for Image Denoising, A
* 2006: Staircasing Effect in Neighborhood Filters and its Solution, The
* 2007: Image data processing method by reducing image noise, and camera integrating means for implementing said method
* 2008: Nonlocal Image and Movie Denoising
* 2008: Topology Preserving Linear Filtering Applied To Medical Imaging
* 2009: Adaptive Change Detection
* 2009: Self-Similarity Driven Color Demosaicking
* 2010: Adaptive blotches detection for film restoration
* 2010: Fast Cartoon + Texture Image Filters
* 2010: Image denoising methods: A new nonlocal principle
* 2011: Cartoon+Texture Image Decomposition
* 2011: Dimensionality of color space in natural images
* 2011: Fattening Free Block Matching
* 2011: Image Color Cube Dimensional Filtering and Visualization
* 2011: Non-local Means Denoising
* 2011: Self-Similarity Driven Demosaicking
* 2011: Self-Similarity-based Image Denoising
* 2012: Analysis and Extension of the Ponomarenko et al. Method, Estimating a Noise Curve from a Single Image
* 2012: Photographing Paintings by Image Fusion
* 2013: Analysis and Extension of the Percentile Method, Estimating a Noise Curve from a Single Image
* 2013: Implementation of the Non-Local Bayes (NL-Bayes) Image Denoising Algorithm
* 2013: Nonlocal Bayesian Image Denoising Algorithm, A
* 2014: Implementation of Nonlocal Pansharpening Image Fusion
* 2014: non-parametric approach for the estimation of intensity-frequency dependent noise, A
* 2014: Nonlocal Variational Model for Pansharpening Image Fusion, A
* 2014: Nonparametric noise estimation method for raw images
* 2014: Self-Similarity and Spectral Correlation Adaptive Algorithm for Color Demosaicking
* 2015: Accelerating Monte Carlo Renderers by Ray Histogram Fusion
* 2015: Demosaicking Algorithm with Adaptive Inter-Channel Correlation, A
* 2015: Nonparametric Multiscale Blind Estimation of Intensity-Frequency-Dependent Noise
* 2015: Obtaining High Quality Photographs of Paintings by Image Fusion
* 2015: Reliable Multiscale and Multiwindow Stereo Matching
* 2016: Analysis and Extension of the PCA Method, Estimating a Noise Curve from a Single Image
* 2016: Directional Filters for Cartoon + Texture Image Decomposition
* 2016: Directional Filters for Color Cartoon+Texture Image and Video Decomposition
* 2016: Pansharpening by a nonlocal channel-decoupled variational method
* 2016: Patch-Based Video Denoising With Optical Flow Estimation
* 2016: Reliable light field multiwindow disparity estimation
* 2017: Disparity adapted weighted aggregation for local stereo
* 2017: Dual domain video denoising with optical flow estimation
* 2017: Robust and Dense Depth Estimation for Light Field Images
* 2017: survey of pansharpening methods with a new band-decoupled variational model, A
* 2018: Contours, Corners and T-Junctions Detection Algorithm
* 2018: Filtering and Interpolation of Inaccurate and Incomplete Depth Maps
* 2018: Joint Contours, Corner and T-Junction Detection: An Approach Inspired by the Mammal Visual System
* 2018: Joint Denoising and Demosaicking of Raw Video Sequences
* 2018: Video Denoising with Optical Flow Estimation
* 2019: Ghosting-free DCT based multi-exposure image fusion
* 2019: Motion-Compensated Spatio-Temporal Filtering for Multi-Image and Multimodal Super-Resolution
* 2019: Semi-dense and robust image registration by shift adapted weighted aggregation and variational completion
* 2020: Backlit images enhancement using global tone mappings and image fusion
* 2020: CFA Video Denoising and Demosaicking Chain via Spatio-Temporal Patch-Based Filtering
* 2020: Enhancement of Noisy and Compressed Videos by Optical Flow and Non-Local Denoising
* 2021: Variational Densification and Refinement of Registration Maps
* 2023: HDR video synthesis by a nonlocal regularization variational model
Includes: Buades, A.[Antoni] Buades, A. Buades, A.[Antonio]
57 for Buades, A.
Buades, J.M.
* 2004: Human Body Analysis with Biomechanics Criteria
* 2004: Real Time Segmentation and Tracking of Face and Hands in VR Applications
* 2016: Evaluation of K-SVD Method in Facial Expression Recognition Based on Sparse Representation Problems
* 2016: Separable soft shadow mapping
Includes: Buades, J.M. Buades, J.M.[José M.] Buades, J.M.[Jose Maria] Buades, J.M.[Jose María]
Buades, T.
* 2009: note on multi-image denoising, A