David L. Neuhoff

ORCID

Publication Activity (10 Years)

Years Active: 1975-2024
Publications (10 Years): 18

Top Venues

CoRR

ICIP

ICASSP

IEEE Trans. Image Process.

Publications

Kaixuan Zhang, Zhaochen Shi, Jana Zujovic, Huib de Ridder, René van Egmond, David L. Neuhoff, Thrasyvoulos N. Pappas
Training and Testing Texture Similarity Metrics for Structurally Lossless Compression. IEEE Trans. Image Process. 33 (2024)
Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff
Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling. IEEE Trans. Image Process. 30 (2021)
Matthew G. Reyes, David L. Neuhoff, Thrasyvoulos N. Pappas
MAP Interpolation of an Ising Image Block. CVC (1) (2019)
Sangsin Na, David L. Neuhoff
Monotonicity of Step Sizes of MSE-Optimal Symmetric Uniform Scalar Quantizers. IEEE Trans. Inf. Theory 65 (3) (2019)
Matthew G. Reyes, David L. Neuhoff
Monotonicity of Entropy in Positively Correlated Ising Trees. ISIT (2019)
Sangsin Na, David L. Neuhoff
On the Convexity of the MSE Distortion of Symmetric Uniform Scalar Quantization. IEEE Trans. Inf. Theory 64 (4) (2018)
Matthew G. Reyes, David L. Neuhoff
Minimum Conditional Description Length in Spatially Invariant Gibbs Fields. ITA (2018)
Matthew G. Reyes, David L. Neuhoff
Local Conditioning on undirected graphs. ITA (2017)
Matthew G. Reyes, David L. Neuhoff
Row-Centric Lossless Compression of Markov Images. CoRR (2017)
Matthew G. Reyes, David L. Neuhoff
Row-centric lossless compression of Markov images. ISIT (2017)
Yutong Wang, Matthew G. Reyes, David L. Neuhoff
Correct Convergence of Min-Sum Loopy Belief Propagation in a Block Interpolation Problem. CoRR (2017)
Matthew A. Prelee, David L. Neuhoff
Multidimensional Manhattan Sampling and Reconstruction. IEEE Trans. Inf. Theory 62 (5) (2016)
Matthew G. Reyes, David L. Neuhoff
Minimum conditional description length estimation for Markov random fields. ITA (2016)
Matthew G. Reyes, David L. Neuhoff
Cutset Width and Spacing for Reduced Cutset Coding of Markov Random Fields. CoRR (2016)
Yuanhao Zhai, David L. Neuhoff
Similarity of Scenic Bilevel Images. IEEE Trans. Image Process. 25 (11) (2016)
Patrice Abry, Andrew G. Klein, Paul Messier, Stéphane G. Roux, Margaret Holben Ellis, William A. Sethares, David Picard, Yuanhao Zhai, David L. Neuhoff, Herwig Wendt, Stéphane Jaffard, C. Richard Johnson Jr.
Wove paper analysis through texture similarities. ACSSC (2016)
Matthew G. Reyes, David L. Neuhoff
Minimum Conditional Description Length Estimation for Markov Random Fields. CoRR (2016)
Matthew G. Reyes, David L. Neuhoff
Cutset width and spacing for Reduced Cutset Coding of Markov random fields. ISIT (2016)
Yuanhao Zhai, David L. Neuhoff
Photographic paper classification via local radius index metric. ICIP (2015)
Matthew A. Prelee, David L. Neuhoff
Multidimensional Manhattan Sampling and Reconstruction. CoRR (2015)
Yuanhao Zhai, David L. Neuhoff
Distributions of local radius indices on periodic tessellations. ICIP (2015)
Matthew A. Prelee, David L. Neuhoff
Performance-energy tradeoffs in cutset wireless sensor networks. ICASSP (2014)
Guoxin Jin, Thrasyvoulos N. Pappas, David L. Neuhoff
An adaptive lighting correction method for matched-texture coding. ICASSP (2014)
Yuanhao Zhai, David L. Neuhoff, Thrasyvoulos N. Pappas
Subjective similarity evaluation for scenic bilevel images. ICASSP (2014)
Guoxin Jin, Thrasyvoulos N. Pappas, David L. Neuhoff
Improved side matching for matched-texture coding. EUVIP (2014)
Matthew G. Reyes, David L. Neuhoff, Thrasyvoulos N. Pappas
Lossy Cutset Coding of Bilevel Images Based on Markov Random Fields. IEEE Trans. Image Process. 23 (4) (2014)
Yuanhao Zhai, David L. Neuhoff
Objective similarity metrics for scenic bilevel images. ICASSP (2014)
Yuanhao Zhai, David L. Neuhoff
Rotation-invariant local radius index: A compact texture similarity feature for classification. ICIP (2014)
Matthew A. Prelee, David L. Neuhoff
Image interpolation from Manhattan cutset samples via orthogonal gradient method. ICIP (2014)
Matthew A. Prelee, David L. Neuhoff
Energy efficient source localization on a Manhattan grid wireless sensor network. ICASSP (2013)
Jana Zujovic, Thrasyvoulos N. Pappas, David L. Neuhoff
Structural Texture Similarity Metrics for Image Analysis and Retrieval. IEEE Trans. Image Process. 22 (7) (2013)
Yuanhao Zhai, David L. Neuhoff, Thrasyvoulos N. Pappas
Local radius index - a new texture similarity feature. ICASSP (2013)
Thrasyvoulos N. Pappas, David L. Neuhoff, Huib de Ridder, Jana Zujovic
Image Analysis: Focus on Texture Similarity. Proc. IEEE 101 (9) (2013)
David L. Neuhoff, S. Sandeep Pradhan
Information Rates of Densely Sampled Data: Distributed Vector Quantization and Scalar Quantization With Transforms for Gaussian Sources. IEEE Trans. Inf. Theory 59 (9) (2013)
Sangsin Na, David L. Neuhoff
Asymptotic MSE Distortion of Mismatched Uniform Scalar Quantization. IEEE Trans. Inf. Theory 58 (5) (2012)
Guoxin Jin, Yuanhao Zhai, Thrasyvoulos N. Pappas, David L. Neuhoff
Matched-texture coding for structurally lossless compression. ICIP (2012)
Matthew A. Prelee, David L. Neuhoff, Thrasyvoulos N. Pappas
Image reconstruction from a Manhattan grid via piecewise plane fitting and Gaussian Markov random fields. ICIP (2012)
Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff
Hierarchical bilevel image compression based on cutset sampling. ICIP (2012)
Jana Zujovic, Thrasyvoulos N. Pappas, David L. Neuhoff, René van Egmond, Huib de Ridder
Subjective and objective texture similarity for image compression. ICASSP (2012)
David L. Neuhoff, S. Sandeep Pradhan
Rate-distortion behavior at low distortion for densely sampled Gaussian data. ISIT (2012)
Matthew A. Prelee, David L. Neuhoff
A sampling theorem for Manhattan grids. ICASSP (2012)
David L. Neuhoff, Sandeep S. Pradhan
Information rates of densely sampled Gaussian data. ISIT (2011)
Ashish Farmer, Awlok Josan, Matthew A. Prelee, David L. Neuhoff, Thrasyvoulos N. Pappas
Cutset sampling and reconstruction of images. ICIP (2011)
Jana Zujovic, Thrasyvoulos N. Pappas, David L. Neuhoff, René van Egmond, Huib de Ridder
A new subjective procedure for evaluation and development of texture similarity metrics. IVMSP (2011)
Thrasyvoulos N. Pappas, Jana Zujovic, David L. Neuhoff
Image analysis and compression: renewed focus on texture. Visual Information Processing and Communication (2010)
Daniel Marco, David L. Neuhoff
Entropy of highly correlated quantized data. IEEE Trans. Inf. Theory 56 (5) (2010)
Matthew G. Reyes, David L. Neuhoff
Lossless Reduced Cutset Coding of Markov Random Fields. DCC (2010)
Matthew G. Reyes, David L. Neuhoff
Entropy bounds for a Markov random subfield. ISIT (2009)
Navin Kashyap, David L. Neuhoff
Data Synchronization With Timing: The Variable-Rate Case. IEEE Trans. Inf. Theory 55 (1) (2009)
Jana Zujovic, Thrasyvoulos N. Pappas, David L. Neuhoff
Structural similarity metrics for texture analysis and retrieval. ICIP (2009)
Matthew G. Reyes, David L. Neuhoff
Arithmetic encoding of Markov random fields. ISIT (2009)
Jana Zujovic, Thrasyvoulos N. Pappas, David L. Neuhoff
Perceptual similarity metrics for retrieval of natural textures. MMSP (2009)
Victoria Yee, David L. Neuhoff
The role of Nitadori's sequence in scalar quantization of general exponential sources. ISIT (2008)
Matthew G. Reyes, Xiaonan Zhao, David L. Neuhoff, Thrasyvoulos N. Pappas
Structure-preserving properties of bilevel image compression. Human Vision and Electronic Imaging (2008)
Kevin M. Holt, David L. Neuhoff
Deterministic Annealing for Entropy-Constrained Vector Quantizer Design. IEEE Trans. Inf. Theory 54 (9) (2008)
Xiaonan Zhao, Matthew G. Reyes, Thrasyvoulos N. Pappas, David L. Neuhoff
Structural texture similarity metrics for retrieval applications. ICIP (2008)
Awlok Josan, Mingyan Liu, David L. Neuhoff, S. Sandeep Pradhan
Throughput Scaling in Random Wireless Networks: A Non-Hierarchical Multipath Routing Strategy CoRR (2007)
Ilju Na, David L. Neuhoff
Optimal Linear Assignment of a Binary Group Code to Integer Vectors for Source-Channel Coding. ISIT (2007)
Matthew G. Reyes, Xiaonan Zhao, David L. Neuhoff, Thrasyvoulos N. Pappas
Lossy Compression of Bilevel Images Based on Markov Random Fields. ICIP (2) (2007)
Daniel Marco, David L. Neuhoff
Low-Resolution Scalar Quantization for Gaussian Sources and Absolute Error. IEEE Trans. Inf. Theory 53 (3) (2007)
Enrique J. Duarte-Melo, Awlok Josan, Mingyan Liu, David L. Neuhoff, S. Sandeep Pradhan
On Throughput Scaling of Wireless Networks: Effect of Node Density and Propagation Model CoRR (2007)
Ilju Na, David L. Neuhoff
The Best Binary Linear Block Codes for Scalar Source-Channel Coding. ISIT (2007)
S. Sandeep Pradhan, David L. Neuhoff
Transform Coding of Densely Sampled Gaussian Data. ISIT (2007)
Daniel Marco, David L. Neuhoff
Low-resolution scalar quantization for Gaussian sources and squared error. IEEE Trans. Inf. Theory 52 (4) (2006)
Daniel Marco, David L. Neuhoff
Low Rate Scalar Quantization for Gaussian Sources and Absolute Error. ISIT (2006)
Navin Kashyap, David L. Neuhoff
Periodic prefix-synchronized codes: A generating function approach. IEEE Trans. Inf. Theory 52 (2) (2006)
David L. Neuhoff, S. Sandeep Pradhan
An Upper Bound to the Rate of Ideal Distributed Lossy Source Coding of Densely Sampled Data. ICASSP (5) (2006)
Enrique J. Duarte-Melo, Awlok Josan, Mingyan Liu, David L. Neuhoff, S. Sandeep Pradhan
The Effect of Node Density and Propagation Model on Throughput Scaling of Wireless Networks. ISIT (2006)
Daniel Marco, David L. Neuhoff
The validity of the additive noise model for uniform scalar quantizers. IEEE Trans. Inf. Theory 51 (5) (2005)
Daniel Marco, David L. Neuhoff
Entropy of quantized data at high sampling rates. ISIT (2005)
Paul J. Pelzl, David L. Neuhoff
A fast, flexible and robust design method for noisy channel scalar quantization. ISIT (2005)
Daniel Marco, David L. Neuhoff
Performance of low rate entropy-constrained scalar quantizers. ISIT (2004)
Ilju Na, David L. Neuhoff
Frog-in-the-box index codes with maximum likelihood decoding for robust scalar quantization. ISIT (2004)
Daniel Marco, David L. Neuhoff
Reliability vs. efficiency in distributed source coding for field-gathering sensor networks. IPSN (2004)
Victoria Yee, David L. Neuhoff
Estimating the optimal support and the rate of convergence to the Panter-Dite formula for a Laplacian source. ISIT (2004)
Jongtae Lim, David L. Neuhoff
Joint and tandem source-channel coding with complexity and delay constraints. IEEE Trans. Commun. 51 (5) (2003)
Daniel Marco, Enrique J. Duarte-Melo, Mingyan Liu, David L. Neuhoff
On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data. IPSN (2003)
Kevin M. Holt, David L. Neuhoff
Strategies for quadtree predictive image coding. ICIP (2) (2003)
Thrasos N. Pappas, Jan P. Allebach, David L. Neuhoff
Model-based digital halftoning. IEEE Signal Process. Mag. 20 (4) (2003)
David L. Neuhoff, Daniel Marco
Distributed encoding of sensor data. ITW (2002)
Kevin M. Holt, David L. Neuhoff
Coding by selective prediction: a new scheme for predictive vector quantization. ICIP (2) (2002)
Navin Kashyap, David L. Neuhoff
On quantization with the Weaire-Phelan partition. IEEE Trans. Inf. Theory 47 (6) (2001)
Jongtae Lim, David L. Neuhoff
Joint and tandem source-channel coding with delay constraints. ICASSP (2001)
Navin Kashyap, David L. Neuhoff
Data synchronization with timing. IEEE Trans. Inf. Theory 47 (4) (2001)
Jordi Ribas-Corbera, David L. Neuhoff
Optimizing motion-vector accuracy in block-based video coding. IEEE Trans. Circuits Syst. Video Technol. 11 (4) (2001)
Dennis Hui, David L. Neuhoff
Asymptotic analysis of optimal fixed-rate uniform scalar quantization. IEEE Trans. Inf. Theory 47 (3) (2001)
Sangsin Na, David L. Neuhoff
On the support of MSE-optimal, fixed-rate, scalar quantizers. IEEE Trans. Inf. Theory 47 (7) (2001)
Marko J. Slyz, David L. Neuhoff
Some Simple Parametric Lossless Image Compressors. ICIP (2000)
Nasir D. Memon, David L. Neuhoff, Sunil M. Shende
Optimizing Prediction Gain in Symmetric Axial Scans. ICIP (2000)
Nasir D. Memon, David L. Neuhoff, Sunil M. Shende
An analysis of some common scanning techniques for lossless image coding. IEEE Trans. Image Process. 9 (11) (2000)
Navin Kashyap, David L. Neuhoff
Codes for Data Synchronization with Timing. Data Compression Conference (1999)
Thrasyvoulos N. Pappas, David L. Neuhoff
Least-squares model-based halftoning. IEEE Trans. Image Process. 8 (8) (1999)
Nasir D. Memon, David L. Neuhoff, Sunil M. Shende
On Scanning Techniques for Lossless Image Coding with Limited Context Supports. ICIP (1) (1998)
Jordi Ribas-Corbera, David L. Neuhoff
Optimizing block size in motion-compensated video coding. J. Electronic Imaging 7 (1) (1998)
David L. Neuhoff, Paul C. Shields
Simplistic Universal Coding. . IEEE Trans. Inf. Theory 44 (2) (1998)
Michael J. Horowitz, David L. Neuhoff
Image coding by perceptual pruning with a cortical snapshot indistinguishability criterion. Human Vision and Electronic Imaging (1998)
Dennis Hui, Daniel F. Lyons, David L. Neuhoff
Reduced storage VQ via secondary quantization. IEEE Trans. Image Process. 7 (4) (1998)
Robert M. Gray, David L. Neuhoff
Quantization. IEEE Trans. Inf. Theory 44 (6) (1998)
Michael J. Horowitz, David L. Neuhoff
Image Coding By Perceptural Pursuit. ICIP (3) (1997)
Ali S. Khayrallah, David L. Neuhoff
Coding for channels with cost constraints. IEEE Trans. Inf. Theory 42 (3) (1996)

David L. Neuhoff.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

David L. Neuhoff