2019 - SPIE Fellow
2000 - IEEE Fellow For contributions to the theory and application of nonlinear signal processing.
Gonzalo R. Arce focuses on Artificial intelligence, Algorithm, Computer vision, Image processing and Median filter. The study incorporates disciplines such as Nonlinear methods, Computer engineering and Pattern recognition in addition to Artificial intelligence. His Algorithm study combines topics from a wide range of disciplines, such as Theoretical computer science, Filter, Filter design and Control theory.
As a member of one scientific family, he mostly works in the field of Computer vision, focusing on Decoding methods and, on occasion, Robustness, Human visual system model, Color image, Visual comparison and Luminance. The Image processing study combines topics in areas such as Nonlinear theory, Spectral imaging, Coded aperture and Digital watermarking. His study looks at the relationship between Median filter and fields such as Linear filter, as well as how they intersect with chemical problems.
His main research concerns Artificial intelligence, Algorithm, Optics, Computer vision and Spectral imaging. Gonzalo R. Arce regularly links together related areas like Pattern recognition in his Artificial intelligence studies. His work in Algorithm addresses issues such as Signal processing, which are connected to fields such as Nonlinear system.
His Optics study incorporates themes from Image quality and Inverse problem. Many of his studies on Computer vision apply to Visual cryptography as well. His Spectral imaging research incorporates elements of Hyperspectral imaging, Imaging spectroscopy, Aperture and Coded aperture.
His primary areas of study are Optics, Algorithm, Coded aperture, Compressed sensing and Spectral imaging. His study in Algorithm is interdisciplinary in nature, drawing from both Image quality, Matrix, Bandlimiting, Colors of noise and Convolution. His studies deal with areas such as Tomography, Hyperspectral imaging, Iterative reconstruction and Data cube as well as Coded aperture.
The concepts of his Compressed sensing study are interwoven with issues in Computational complexity theory and Sparse approximation. The various areas that Gonzalo R. Arce examines in his Spectral imaging study include Pixel, Artificial intelligence, Cardinal point, Temporal resolution and Adaptive coding. His Artificial intelligence study integrates concerns from other disciplines, such as Spatial analysis and Pattern recognition.
His primary scientific interests are in Optics, Coded aperture, Algorithm, Compressed sensing and Spectral imaging. His Optics research is multidisciplinary, incorporating perspectives in Inverse problem and Thresholding. His Coded aperture research includes themes of Hyperspectral imaging and Iterative reconstruction.
His work deals with themes such as Dither, Point spread function and Amplifier, Predistortion, which intersect with Algorithm. Gonzalo R. Arce has included themes like Pixel, Computer vision, Artificial intelligence and Colors of noise in his Spectral imaging study. His study in the field of Image sensor is also linked to topics like Colored.
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A multiresolution watermark for digital images
Xiang-Gen Xia;C.G. Boncelet;G.R. Arce.
international conference on image processing (1997)
Nonlinear Signal Processing: A Statistical Approach
Gonzalo R. Arce.
Halftone visual cryptography
Zhi Zhou;G.R. Arce;G. Di Crescenzo.
IEEE Transactions on Image Processing (2006)
Modern Digital Halftoning
Daniel L. Lau;Gonzalo Arce.
Ultra-Wideband Compressed Sensing: Channel Estimation
J.L. Paredes;G.R. Arce;Zhongmin Wang.
IEEE Journal of Selected Topics in Signal Processing (2007)
Detail-preserving ranked-order based filters for image processing
G.R. Arce;R.E. Foster.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)
Wavelet transform based watermark for digital images.
Xiang Gen Xia;Charles G. Boncelet;Gonzalo R. Arce.
Optics Express (1998)
Compressive Coded Aperture Spectral Imaging: An Introduction
Gonzalo R. Arce;David J. Brady;Lawrence Carin;Henry Arguello.
IEEE Signal Processing Magazine (2014)
Halftone Visual Cryptography Via Error Diffusion
Zhongmin Wang;G.R. Arce;G. Di Crescenzo.
IEEE Transactions on Information Forensics and Security (2009)
Joint wavelet compression and authentication watermarking
Liehua Xie;G.R. Arce.
international conference on image processing (1998)
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