World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
14255
World Ranking
5243
National Ranking
2414

Electronics and Electrical Engineering

D-Index
43
Citations
12427
World Ranking
3810
National Ranking
1375

Research.com Recognitions

  • 1988 - IEEE Fellow For contributions to multidimensional signal processing, image modeling, image restoration, and image compression.

Overview

John W. Woods is affiliated with Rensselaer Polytechnic Institute in the United States. Their research is situated within the broader field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition as well as Signal Processing.

Their scholarly output centers around key topics including:

  • Advanced Data Compression Techniques
  • Video Coding and Compression Technologies
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Woods has coauthored work with several researchers, including Cunhui Dong, Haichuan Ma, Dong Liu, and Yuan Liu.

Their recent publications reflect contributions to conferences and journals in related areas. Notable papers include:

  • "Wavelet-Based Learned Scalable Video Coding," 2022, presented at the 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
  • "Determination of Lagrange multipliers for interframe EZBC/JP2K," 2023, published in Signal Processing Image Communication

Frequent venues for their publications include the 2022 IEEE International Symposium on Circuits and Systems (ISCAS) and the journal Signal Processing Image Communication.

In recognition of their work, Woods received the IEEE Fellow award in 1988 for contributions to multidimensional signal processing, image modeling, image restoration, and image compression.

Best Publications

  • Subband coding of images

    J. Woods;S. O'Neil

  • Motion-compensated 3-D subband coding of video

    Seung-Jong Choi;J.W. Woods

  • Two-dimensional discrete Markovian fields

    J. Woods

  • Subband Image Coding

    John W. Woods

  • Probability and Random Processes with Applications to Signal Processing

    Henry Stark;John W. Woods

  • Kalman filtering in two dimensions

    J. Woods;C. Radewan

  • Two-dimensional spectral factorization with applications in recursive digital filtering

    M. Ekstrom;J. Woods

  • Direct Fourier reconstruction in computer tomography

    H. Stark;J. Woods;I. Paul;R. Hingorani

  • Kalman filtering in two dimensions: Further results

    J. Woods;V. Ingle

  • Identification of image and blur parameters for the restoration of noncausal blurs

    A. Tekalp;H. Kaufman;J. Woods

  • Embedded video coding using invertible motion compensated 3-D subband/wavelet filter bank

    Shih-Ta Hsiang;John W Woods

  • Subband coding of images using vector quantization

    P.H. Westerink;D.E. Boekee;J. Biemond;J.W. Woods

  • Compound Gauss-Markov random fields for image estimation

    F.-C. Jeng;J.W. Woods

  • Sub-band coding of images

    J. Woods;Sean O'Neil

  • Bidirectional MC-EZBC with lifting implementation

    Peisong Chen;J.W. Woods

  • Embedded image coding using zeroblocks of subband/wavelet coefficients and context modeling

    Unknown

  • Multidimensional Signal, Image, and Video Processing and Coding

    John W. Woods

  • Probability, Random Processes and Estimation Theory for Engineers.

    Henry Stark;John W. Woods

  • Predictive Vector Quantization of Images

    Hsueh-Ming Hang;J. Woods

  • AN INVESTIGATION OF COMPUTERIZED TOMOGRAPHY BY DIRECT FOURIER INVERSION AND OPTIMUM INTERPOLATION

    H. Stark;J. W. Woods;I. Paul;R. Hingorani

  • Domain-based multiple description coding of images and video

    I.V. Bajic;J.W. Woods

Frequent Co-Authors

Shivkumar Kalyanaraman
Shivkumar Kalyanaraman Microsoft (India)
A.M. Tekalp
A.M. Tekalp Koç University
Pierre Moulin
Pierre Moulin University of Illinois at Urbana-Champaign
Jan Biemond
Jan Biemond Delft University of Technology
Yao Zhao
Yao Zhao Beijing Jiaotong University
William A. Pearlman
William A. Pearlman Rensselaer Polytechnic Institute
Jacob Chakareski
Jacob Chakareski New Jersey Institute of Technology
Mihaela van der Schaar
Mihaela van der Schaar University of Cambridge
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Tong Zhang
Tong Zhang Rensselaer Polytechnic Institute

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