Thrasyvoulos N. Pappas
Professor
ECE Department
McCormick School of Engineering and Applied Science
Northwestern University

Plenary talk at ICIP 2010:
"Visual Signal Analysis and Compression: Rethinking Texture" (ppt slides )

Meet-the-EECS Faculty Seminar at Northwestern:
"Visual Signal Analysis and Compression: Focus on Texture" (video)

Celebrating 30+ years of HVEI!

SPIE/IS&T Human Vision and Electronic Imaging Conference

I Gave A Tech Talk At Google

Plenary talk at ICIP 2004:
"Model-Based Halftoning" (ppt slides )

Honors

Research Interests

• Perceptual Models for Multimedia Processing
• Visual, Tactile, and Acoustic Texture Analysis
• Structural Texture Similarity Metrics
• "Structurally lossless" Image and Video Compression
• Texture representation based on generative adversarial networks (GANS)
• Texture Analysis for Material Identification and Characterization
• Understanding Cerebral Small Vessel Disease
• Detection and Characterization of Bronchopulmonary Dysplacia in Preterm Infants
• Film grain rendering and parameter estimation
• Content-Based Image and Video Retrieval
• Cutset sampling
• Bilevel image compression
• Image and Video Segmentation
• Acoustic-Tactile Representation of Visual Signals
• Tactile and Multimodal interfaces
• Model-Based Halftoning and Color Reproduction

Selected Publications

• K. Zhang, Z. Shi, J. Zujovic, R. van Egmond, H. de Ridder, D. L. Neuhoff, and T.~N. Pappas, "Training and testing texture similarity metrics for image compression,"" IEEE Trans. Image Processing, vol. 33, pp. 1614-1626, 2024.
• J. Lin, Z. Xu, G. Sharma, and T. N. Pappas, "Texture representation via analysis and synthesis with generative adversarial networks,"" e-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 6, pp. 1-10, Dec. 2023.
• K. Zhang, J. Wang, D. Tian, and T. N. Pappas, "Film grain rendering and parameter estimation," ACM Trans. Graph., vol. 42, July 2023.
• J. Lin, G. Sharma, and T. N. Pappas, "Toward universal texture synthesis by combining texton broadcasting with noise injection in StyleGAN-2,"" e-Prime - Advances in Electrical Engineering, Electronics and Energy, vol. 3, pp. 1-11, Mar. 2023.
• S. Zha, D. Tian, and T. N. Pappas, "Pattern-based reconstruction of K-level images from cutsets," IEEE Trans. Image Processing. vol. 31, pp. 5529-5542, 2022.
• J. Wang, C. Kuesten, J. Mayne, G. Majmudar, and T. N. Pappas, "Human skin gloss perception based on image statistics," IEEE Trans. Image Processing. vol. 30, pp. 3610-3622, 2021.
• S. Zha, T. N. Pappas, and D. L. Neuhoff, "Hierarchical lossy bilevel image compression based on cutset sampling," IEEE Trans. Image Processing. vol. 30, pp. 1527-1541, 2021.
• J. Wang, J. Zujovic, J. Choi, B. Chakraborty, R. van Egmond, H. de Ridder, and T. N. Pappas, "Influence of texture structure on the perception of color composition," Journal of Perceptual Imaging, vol. 3, No. 1, pp. 10401--1--10401--20, Jan. 2020.
• J. Lin and T. N. Pappas, "Structural Texture Similarity for Material Recognition," in Proc. Int. Conf. Image Processing (ICIP), (Taipei, Taiwan), pp. 4424-4428, Sept. 2019.
• P. M. Silva, T. N. Pappas, J. Atkins, and J. E. West, "Perceiving graphical and pictorial information via touch and hearing," IEEE Trans. Multimedia, vol. 18, no. 12, pp. 2432-2445, Dec. 2016.
• J. Zujovic, T. N. Pappas, D. L. Neuhoff, R. van Egmond, and H. de Ridder, "Effective and efficient subjective testing of texture similarity metrics," Journal of the Optical Society of America A, vol. 32, no.2, pp. 329-342, Feb. 2015.
• M. G. Reyes, D. L. Neuhoff, and T. N. Pappas, "Lossy cutset coding of bilevel images based on {Markov} random fields," IEEE Trans. Image Processing, vol. 23, no. 4pp. 1652-1665, Apr. 2014.
• Invited paper: T. N. Pappas, D. L. Neuhoff, H. de Ridder, and J. Zujovic, "Image analysis: Focus on texture similarity," Proc. IEEE, vol. 101, no. 9, pp. 2044-2057, Sep. 2013.
• J. Zujovic, T. N. Pappas, and D. L. Neuhoff, "Structural texture similarity metrics for image analysis and retrieval," IEEE Trans. Image Processing, vol. 22, no. 7, pp. 2545-2558, Jul. 2013.
• G. Jin, Y. Zhai, T. N. Pappas, and D. L. Neuhoff, "Matched-texture coding for structurally lossless compression," in Proc. Int. Conf. Image Processing (ICIP), (Orlando, FL), Oct. 2012.
• J. Chen, T. N. Pappas, A. Mojsilovic, and B. E. Rogowitz, "Adaptive perceptual color-texture image segmentation," IEEE Trans. Image Processing, vol. 14, pp. 1524-1536, Oct. 2005.
• T. N. Pappas, J. P. Allebach, and D. L. Neuhoff, "Model-based digital halftoning," IEEE Signal Processing Mag., vol.20, pp. 14--27, July 2003.
• R. O. Hinds, T. N. Pappas, and J. S. Lim, "Joint block-based video source/channel coding for packet-switched networks," in Visual Communications and Image Processing, vol. Proc. SPIE, Vol. 3309, (San Jose, CA), p. 124-133, Jan. 1998.

Complete List of Publications

Courses

• EECS 431 -- Human Perception and Electronic Media (Spring)
• EECS 421 -- Multimedia Compression
• EECS 420 -- Digital Image Processing
• EECS 359 -- Digital Signal Processing (Fall)
• EECS 222 -- Fundamentals of Signals and Systems (Fall)

Current Students

• Daizong Tian (PhD)
• Zhiwei Xu (PhD)
• Kaixuan Zhang (PhD)
• Alex Huggins (UG)
• Derek Guo (UG)>

Alumni

Professional Activities - Selected

• Editor-in-Chief, IS&T Journal of Perceptual Imaging (2018-)
• Co-Chair, IS&T/SPIE Human Vision and Electronic Imaging Conference (1997-2018)
• Vice President Publications, Signal Processing Society of IEEE (2015-2017)
• Editor-in-Chief, IEEE Transactions on Image Processing (2010-2012)

Complete List of Professional Activities

Biographical Info




Address

Electrical Engineering and Computer Science			Phone: (847) 467-1243
Northwestern University			Fax: (847) 491-4455
Evanston, IL 60208-3118			pappas AT eecs dot northwestern dot edu




The Road to Salonica

A documentary that digs up "treasures" which do not shine!






New Waterfront of Thessaloniki








Nepotism Department

Dimitris Pappas's stained glass:




Melanie West's Foundation:






Jim West:



Inventor's Hall of Fame

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Last update September 29, 2023