World's Best Scientists 2026 revealed!
Michael W. Marcellin

Michael W. Marcellin

D-Index & Metrics

Computer Science

D-Index
42
Citations
13878
World Ranking
8165
National Ranking
3499

Electronics and Electrical Engineering

D-Index
40
Citations
13550
World Ranking
4386
National Ranking
1555

Overview

Michael W. Marcellin is affiliated with the University of Arizona in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on computer vision, pattern recognition, and electronic engineering. The work also touches on aspects of artificial intelligence.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Within these fields, their subfields of study are:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Michael W. Marcellin's main topics of research cover:

  • Neural Networks and Applications
  • Advanced Memory and Neural Computing
  • Advancements in Semiconductor Devices and Circuit Design
  • Image and Signal Denoising Methods
  • Advanced Data Compression Techniques
  • Advanced Image Processing Techniques

Recent papers published by Michael W. Marcellin include:

  • Visibility of quantization errors in reversible JPEG2000, 2020, Signal Processing Image Communication
  • Redundancy and Optimization of tANS Entropy Encoders, 2020, IEEE Transactions on Multimedia

Their frequent co-authors are:

  • Ian Blanes
  • Miguel Hernández-Cabronero
  • Joan Serra-Sagristà
  • Feng Liu
  • Eze Ahanonu

Michael W. Marcellin has contributed to publications primarily in the following venues:

  • IEEE Transactions on Multimedia
  • Signal Processing Image Communication

Best Publications

  • JPEG2000 : image compression fundamentals, standards, and practice

    David S. Taubman;Michael W. Marcellin

  • Adaptive reconstruction of phased array MR imagery

    Unknown

  • An overview of JPEG-2000

    M.W. Marcellin;M.J. Gormish;A. Bilgin;M.P. Boliek

  • Trellis coded quantization of memoryless and Gauss-Markov sources

    M.W. Marcellin;T.R. Fischer

  • JPEG2000: standard for interactive imaging

    D.S. Taubman;M.W. Marcellin

  • Compression of hyperspectral imagery using the 3-D DCT and hybrid DPCM/DCT

    G.P. Abousleman;M.W. Marcellin;B.R. Hunt

  • Comparison of different methods of classification in subband coding of images

    R.L. Joshi;H. Jafarkhani;J.H. Kasner;T.R. Fischer

  • Compression of electrocardiogram signals using JPEG2000

    A. Bilgin;M.W. Marcellin;M.I. Altbach

  • Lifting-based view compensated compression and remote visualization of volume rendered images

    Michael W. Marcellin;Ali Bilgin;Hariharan G. Lalgudi;Mariappan S. Nadar

  • A survey of MAC protocols proposed for wireless ATM

    J. Sanchez;R. Martinez;M.W. Marcellin

  • Three-dimensional image compression with integer wavelet transforms.

    Ali Bilgin;George Zweig;Michael W. Marcellin

  • Trellis-coded vector quantization

    T.R. Fischer;M.W. Marcellin;M. Wang

  • An overview of quantization in JPEG 2000

    Michael W. Marcellin;Margaret A. Lepley;Ali Bilgin;Thomas J. Flohr

  • Image coding using wavelet transforms and entropy-constrained trellis-coded quantization

    P. Sriram;M.W. Marcellin

  • The Current Role of Image Compression Standards in Medical Imaging.

    Feng Liu;Miguel Hernandez-Cabronero;Victor Sanchez;Michael W. Marcellin

  • On the Construction of Structured LDPC Codes Free of Small Trapping Sets

    Dung Viet Nguyen;S. K. Chilappagari;M. W. Marcellin;B. Vasic

  • Universal trellis coded quantization

    J.H. Kasner;M.W. Marcellin;B.R. Hunt

  • Iterative multiframe superresolution algorithms for atmospheric-turbulence-degraded imagery

    David G. Sheppard;Bobby R. Hunt;Michael W. Marcellin

  • On entropy-constrained trellis coded quantization

    M.W. Marcellin

  • Near-lossless image compression: minimum-entropy, constrained-error DPCM

    Ligang Ke;M.W. Marcellin

  • Two-dimensional modulation codes

    M.W. Marcellin;H.J. Weber

Frequent Co-Authors

Bane Vasic
Bane Vasic University of Arizona
David Taubman
David Taubman University of New South Wales
Mark A. Neifeld
Mark A. Neifeld University of Arizona
Hamid Jafarkhani
Hamid Jafarkhani University of California, Irvine
Ivan B. Djordjevic
Ivan B. Djordjevic University of Arizona
Vivek K. Goyal
Vivek K. Goyal Boston University
Robert M. Gray
Robert M. Gray Stanford University
Gary J. Sullivan
Gary J. Sullivan Microsoft (United States)

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