Joel Trussell

Vrhel, M., & Trussell, H. J. (2023). Determination and use of external color filter for improved camera colorimetry. JOURNAL OF ELECTRONIC IMAGING, 32(1). https://doi.org/10.1117/1.JEI.32.1.013022

Vrhel, M., & Trussell, H. J. (2022). Evaluation of Figures of Merit for Colorimetric Cameras. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 66(5). https://doi.org/10.2352/J.ImagingSci.Technol.2022.66.5.050402

Trussell, H. J., & Shamey, R. (2020). Accurate colorimetric images using LEDs. JOURNAL OF ELECTRONIC IMAGING, 29(4). https://doi.org/10.1117/1.JEI.29.4.043008

Trussell, H. J., & Gumpertz, M. L. (2020). Comparison of the Effectiveness of Online Homework With Handwritten Homework in Electrical and Computer Engineering Classes. IEEE TRANSACTIONS ON EDUCATION, 63(3), 209–215. https://doi.org/10.1109/TE.2020.2971198

Adali, T., Trussell, H. J., Hansen, L. K., & Calhoun, V. D. (2018, June). The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails. PROCEEDINGS OF THE IEEE, Vol. 106, pp. 1014–1018. https://doi.org/10.1109/jproc.2018.2823428

Trussell, H. J., & Basu, S. (2016, December). Rewards of Tutorials. PROCEEDINGS OF THE IEEE, Vol. 104, pp. 2262–2266. https://doi.org/10.1109/jproc.2016.2625000

Trussell, H. J. (2015, January). Automating Analytical Homework. PROCEEDINGS OF THE IEEE, Vol. 103, pp. 2–7. https://doi.org/10.1109/jproc.2014.2374751

Trussell, H. J., & Baron, D. (2015). Creating Analytic Online Homework for Digital Signal Processing [sp Education]. IEEE Signal Processing Magazine, 32(5), 112–118. https://doi.org/10.1109/msp.2015.2438992

Xu, Y., Fu, H., Ma, J., & Trussell, H. J. (2015, October). International Education. PROCEEDINGS OF THE IEEE, Vol. 103, pp. 1691–1697. https://doi.org/10.1109/jproc.2015.2475435

Sergios Theodoridis, & Trussell, J. H. (Eds.). (2014). Image, video processing and analysis, hardware, audio, acoustic and speech processing. Amsterdam: Academic Press.

Cao, R., Trussell, H. J., & Shamey, R. (2013). Comparison of the performance of inverse transformation methods from OSA-UCS to CIEXYZ. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 30(8), 1508–1515. https://doi.org/10.1364/josaa.30.001508

Trusell, H. J. (2012, May). Overview for Reflections and Reviews of Past Predictions. PROCEEDINGS OF THE IEEE, Vol. 100, pp. 1255–1260. https://doi.org/10.1109/jproc.2012.2190166

Trussell, H. J., & Zhang, R. (2012). The dominance of poisson noise in color digital cameras. 2012 IEEE international conference on image processing (ICIP 2012), 329–332.

Trussell, H. J., & Nanjappan, J. (2010). ADAPTIVE SAMPLING FOR OUTPUT DEVICE CHARACTERIZATION. 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, pp. 537–540. https://doi.org/10.1109/icip.2010.5651556

Zeng, H., & Trussell, H. J. (2010). Constrained Dimensionality Reduction Using a Mixed-Norm Penalty Function with Neural Networks. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 22(3), 365–380. https://doi.org/10.1109/TKDE.2009.107

Trussell, H. J., & Vrhel, M. J. (2008). Fundamentals of digital imaging. Cambridge ;|aNew York: Cambridge University Press.

Ayhan, B., Trussell, H. J., Chow, M.-Y., & Song, M.-H. (2008). On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 55(3), 1421–1434. https://doi.org/10.1109/TIE.2007.896522

Justice, D. H., Trussell, H. J., & Olufsen, M. S. (2006). Analysis of blood flow velocity and pressure signals using the multipulse method. Mathematical Biosciences and Engineering, 3(2), 419–440. https://doi.org/10.3934/mbe.2006.3.419

Trussell, H. J., & Hartwig, R. E. (2002, April). Mathematics for demosaicking. https://doi.org/10.1109/tip.2002.999681

Vrhel, M. J., & Trussell, H. J. (2002). Problems in publishing accurate color in IEEE journals. IEEE TRANSACTIONS ON IMAGE PROCESSING, 11(4), 373–376. https://doi.org/10.1109/TIP.2002.999671

Altunbasak, H., & Trussell, H. J. (2001). Colorimetric restoration of digital images. IEEE TRANSACTIONS ON IMAGE PROCESSING, 10(3), 393–402. https://doi.org/10.1109/83.908505

Ikiz, Y., Rust, J. P., Jasper, W. J., & Trussell, H. J. (2001). Fiber length measurement by image processing. TEXTILE RESEARCH JOURNAL, 71(10), 905–910. https://doi.org/10.1177/004051750107101009

Rust, J., Jasper, W., Trussell, H. J., & Ikiz, Y. (2000). Dealing with fiber crossovers in fiber length measurements by image processing. Thirteenth annual Engineered Fiber Selection System Conference proceedings: April 17-19, 2000, Sheraton Imperial Hotel and Convention Center, Research Triangle Park, NC. [Cary, N.C.]: Cotton Inc.

Altug, S., Trussell, H. J., & Chow, M. Y. (1999). A "mutual update" training algorithm for fuzzy adaptive logic control/decision network (FALCON). IEEE TRANSACTIONS ON NEURAL NETWORKS, 10(1), 196–199. https://doi.org/10.1109/72.737508

Vrhel, M. J., & Trussell, H. J. (1999). Color device calibration: A mathematical formulation. IEEE TRANSACTIONS ON IMAGE PROCESSING, 8(12), 1796–1806. https://doi.org/10.1109/83.806624

Altug, S., Chow, M. Y., & Trussell, H. J. (1999). Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 46(6), 1069–1079. https://doi.org/10.1109/41.807988

Chow, M.-Y., Altug, S., & Trussell, H. J. (1999). Heuristic constraints enforcement for training of and knowledge extraction from a fuzzy/neural architecture - Part I: Foundation. IEEE Transactions on Fuzzy Systems, 7(2), 143–150. https://doi.org/10.1109/91.755396

Altug, S., Chow, M. Y., & Trussell, H. J. (1999). Heuristic constraints enforcement for training of and rule extraction from a fuzzy/neural architecture - Part II: Implementation and application. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 7(2), 151–159. https://doi.org/10.1109/91.755397

Chow, M.-Y., Lee, Y.-S., & Trussell, H. J. (1999). Motor incipient fault detection using artificial neural. In J. Lee & B. Wang (Eds.), Computer-aided maintenance: methodologies and practices (Manufacturing systems engineering series ; 5). (pp. 263–280). https://doi.org/10.1007/978-1-4615-5305-2_12

Trussell, H. J. (1998). Applications of digital signal processing, fuzzy logic, and neural nets to computational color. Textile Chemist and Colorist, 30(2), 28–32.

Sharma, G., Vrhel, M. J., & Trussell, H. J. (1998). [Review of Color imaging for multimedia]. PROCEEDINGS OF THE IEEE, 86(6), 1088–1108. https://doi.org/10.1109/5.687831

Sharma, G., Trussell, H. J., & Vrhel, M. J. (1998, January). Optimal nonnegative color scanning filters. https://doi.org/10.1109/83.650859

Sharma, G., & Trussell, H. J. (1997). [Review of Digital color imaging]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 6(7), 901–932. https://doi.org/10.1109/83.597268

Trussell, H. J., Allebach, J., Fairchild, M. D., Funt, B., & Wong, P. W. (1997). Digital color imaging. IEEE Transactions on Image Processing, 6(7), 897–900.

Sharma, G., & Trussell, H. J. (1997). Figures of merit for color scanners. IEEE TRANSACTIONS ON IMAGE PROCESSING, 6(7), 990–1001. https://doi.org/10.1109/83.597274

Sharma, G., & Trussell, H. J. (1997, December). Set theoretic signal restoration using an error in variables criterion. https://doi.org/10.1109/83.650122