World's Best Scientists 2026 revealed!

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Computer Science

D-Index
72
Citations
17757
World Ranking
1702
National Ranking
867

Research.com Recognitions

  • 2019 - SPIE Fellow
  • 2000 - IEEE Fellow For contributions to the theory and application of nonlinear signal processing.

Overview

Gonzalo R. Arce is affiliated with the University of Delaware in the United States. Their research primarily spans the field of Engineering, with a focus on various subfields including Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Computational Mechanics, and Media Technology.

The scientist's work addresses several topics of study, among which Medical Imaging Techniques and Applications, Sparse and Compressive Sensing Techniques, Advanced X-ray and CT Imaging, Advancements in Photolithography Techniques, Image Processing Techniques and Applications, Photoacoustic and Ultrasonic Imaging, and Advanced Graph Neural Networks are prominent.

Recent publications by Gonzalo R. Arce include the following papers: "Movement forecasting of financial time series based on adaptive LSTM-BN network" (2022) published in Expert Systems with Applications, "Deep4SNet: deep learning for fake speech classification" (2021) also in Expert Systems with Applications, "Model-informed deep learning for computational lithography with partially coherent illumination" (2020) in Optics Express, "LED-based compressive spectral-temporal imaging" (2021) in Optics Express, and "Fast inverse lithography based on dual-channel model-driven deep learning" (2020) in Optics Express.

Frequent coauthors in their research collaborations include Xu Ma, Daniel L. Lau, Karelia Pena-Pena, Qile Zhao, and Shengen Zhang.

The predominant venues for Gonzalo R. Arce's publications include Optics Express, Applied Optics, IEEE Transactions on Computational Imaging, IEEE Transactions on Geoscience and Remote Sensing, and arXiv (Cornell University).

Gonzalo R. Arce has been recognized as a SPIE Fellow since 2019 and holds the distinction of IEEE Fellow since 2000, the latter awarded for contributions to the theory and application of nonlinear signal processing.

Best Publications

  • A multiresolution watermark for digital images

    Xiang-Gen Xia;C.G. Boncelet;G.R. Arce

  • Nonlinear Signal Processing: A Statistical Approach

    Gonzalo R. Arce

  • Compressive Coded Aperture Spectral Imaging: An Introduction

    Gonzalo R. Arce;David J. Brady;Lawrence Carin;Henry Arguello

  • Halftone visual cryptography

    Zhi Zhou;G.R. Arce;G. Di Crescenzo

  • Modern Digital Halftoning

    Daniel L. Lau;Gonzalo Arce

  • Ultra-Wideband Compressed Sensing: Channel Estimation

    J.L. Paredes;G.R. Arce;Zhongmin Wang

  • Detail-preserving ranked-order based filters for image processing

    G.R. Arce;R.E. Foster

  • Halftone Visual Cryptography Via Error Diffusion

    Zhongmin Wang;G.R. Arce;G. Di Crescenzo

  • Wavelet transform based watermark for digital images.

    Xiang Gen Xia;Charles G. Boncelet;Gonzalo R. Arce

  • Green noise digital halftoning

    D.L. Lau;G.R. Arce;N.C. Gallagher

  • Theoretical analysis of the max/Median filter

    G. Arce;M. McLoughlin

  • Joint wavelet compression and authentication watermarking

    Liehua Xie;G.R. Arce

  • A general weighted median filter structure admitting negative weights

    G.R. Arce

  • Colored Coded Aperture Design by Concentration of Measure in Compressive Spectral Imaging

    Henry Arguello;Gonzalo R. Arce

  • Color Extended Visual Cryptography Using Error Diffusion

    InKoo Kang;G R Arce;Heung-Kyu Lee

  • Zero-Order Statistics: A Mathematical Framework for the Processing and Characterization of Very Impulsive Signals

    J.G. Gonzalez;J.L. Paredes;G.R. Arce

  • Morphological filters: Statistics and further syntactic properties

    R. Stevenson;G. Arce

  • Multistage order statistic filters for image sequence processing

    G.R. Arce

  • Optimality of the myriad filter in practical impulsive-noise environments

    J.G. Gonzalez;G.R. Arce

  • Recursive weighted median filters admitting negative weights and their optimization

    G.R. Arce;J.L. Paredes

Frequent Co-Authors

Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory
Kenneth E. Barner
Kenneth E. Barner University of Delaware
Dennis W. Prather
Dennis W. Prather University of Delaware
Constantine Kotropoulos
Constantine Kotropoulos Aristotle University of Thessaloniki
Qian Chen
Qian Chen Nanjing University of Science and Technology
Xiang-Gen Xia
Xiang-Gen Xia University of Delaware
Zixiang Xiong
Zixiang Xiong Texas A&M University
Alejandro Ribeiro
Alejandro Ribeiro University of Pennsylvania
Heung-Kyu Lee
Heung-Kyu Lee Korea Advanced Institute of Science and Technology
Fauzia Ahmad
Fauzia Ahmad Temple University

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