Grants per year
Personal profile
Research Interests
The research interests of Prof. Pappas are in image and video quality and compression, image and video analysis, content-based retrieval, perceptual models for multimedia processing, medical image analysis, model-based halftoning, and tactile and multimodal interfaces.
Education/Academic qualification
Electrical Engineering and Computer Science, PhD, Massachusetts Institute of Technology
… → 1987
Electrical Engineering and Computer Science, MS, Massachusetts Institute of Technology
… → 1982
Electrical Engineering, BS, Massachusetts Institute of Technology
… → 1979
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Grants
- 11 Finished
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Cutset Sampling Topologies for Intelligence, Surveillance, and Reconnaissance
2/3/14 → 8/4/19
Project: Research project
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EAGER: Visual, Tactile, and Acoustic Signal Analysis and Perception for Tactile-Acoustic Display
8/15/10 → 7/31/12
Project: Research project
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Compressive Sensing and Super-Resolution of MM Wave Images (PDP10-32)
Katsaggelos, A. K. & Pappas, T. N.
National Nuclear Security Administration
6/8/10 → 6/7/14
Project: Research project
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Structural Similarity Metrics in Image Analysis and Compression
6/1/10 → 5/31/11
Project: Research project
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Film Grain Rendering and Parameter Estimation
Zhang, K., Wang, J., Tian, D. & Pappas, T. N., Aug 1 2023, In: ACM Transactions on Graphics. 42, 4, 63.Research output: Contribution to journal › Article › peer-review
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Toward universal texture synthesis by combining texton broadcasting with noise injection in StyleGAN-2
Lin, J., Sharma, G. & Pappas, T. N., Mar 2023, In: e-Prime - Advances in Electrical Engineering, Electronics and Energy. 3, 100092.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Pattern-Based Reconstruction of K-Level Images From Cutsets
Zha, S., Tian, D. & Pappas, T. N., 2022, In: IEEE Transactions on Image Processing. 31, p. 5529-5542 14 p.Research output: Contribution to journal › Article › peer-review
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Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling
Zha, S., Pappas, T. N. & Neuhoff, D. L., 2021, In: IEEE Transactions on Image Processing. 30, p. 1527-1541 15 p., 9307275.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Human Skin Gloss Perception Based on Texture Statistics
Wang, J., Kuesten, C., Mayne, J., Majmudar, G. & Pappas, T. N., 2021, In: IEEE Transactions on Image Processing. 30, p. 3610-3622 13 p., 9366334.Research output: Contribution to journal › Article › peer-review
3 Scopus citations
Datasets
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NUUR-Texture500: A Diverse Dataset of High Resolution Homogeneous Textures
Lin, J. (Contributor), Sharma, G. (Contributor) & Pappas, T. N. (Contributor), ZENODO, Sep 29 2022
DOI: 10.5281/zenodo.7127079, https://zenodo.org/record/7127079
Dataset