Ed Jernigan

Ph.D.

JerniganEmail: jernigan@engmail.uwaterloo.ca

Research interests

Recently, researchers in vision and image processing have developed quantitative models of both image formation and human perceptual performance which provide new insight into the form and function of image processing and pattern recognition tasks in vision. Research in image processing in Systems Design Engineering is part of an emerging effort to develop a coherent framework for image and signal processing and analysis based on perceptual models. Two current specific objectives are the development of image enhancement, segmentation and classification systems using non-linear and adaptive filters suited to non-additive, non-stationary noise and signal processes characteristic of imaging systems, and development of machine perception algorithms for texture and shape. Applications include enhancement and restoration for remote sensing (SAR) and medical (ultrasound, MRI, PET) images.

Research topics

Biomedical Imaging

Remote Sensing

Publications

Journal articles

Azimifar, Z., M. Amiri, P. Fieguth, and E. Jernigan, "Empirical study of wavelet domain image joint statistics and proposition of an efficient correlation mappdf", Journal of Mathematical Imaging and Vision, pp. 1-15, 2011. Details

Korhonen, M.D. A. Clausi, and E. Jernigan, "Modeling emotional content of music using system identificationpdf", IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 36, no. 3, pp. 588 - 599, 2005. Details

Clausi, D. A., and E. Jernigan, "Designing Gabor filters for optimal texture separabilitypdf", Pattern Recognition, vol. 33, no. 11: Elsevier, pp. 1835–1849, 2000. Details

Clausi, D. A., and E. Jernigan, "A fast method to determine co-occurrence texture featurespdf", IEEE Transactions on Geoscience and Remote Sensing, vol. 36, no. 1, pp. 298 - 300, 1998.  Details

Conference papers

Azimifar, Z.P. Fieguth, and E. Jernigan, "Correlated wavelet shrinkage: models of local random fields across multiple resolutionspdf", International Conference on Image Analysis and Recognition, vol. 3, 2005. Details

Azimifar, Z.P. Fieguth, and E. Jernigan, "Textures and wavelet-domain joint statisticspdf", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004. Details

Azimifar, Z.P. Fieguth, and E. Jernigan, "Hierarchical Markov models for wavelet-domain statisticspdf", 2003 IEEE Workshop on Statistical Signal Processing, 2003. Details

Jin, F.P. Fieguth, L. Winger, and E. Jernigan, "Image enhancement by frequency extrapolation using a multiscale edge representation", CCECE '03, Montreal, 2003. Details

Jin, F.P. Fieguth, L. Winger, and E. Jernigan, "Adaptive Wiener filtering of noisy images and image sequencespdf",IEEE International Conference on Image Processing, vol. 3, Spain, 2003. Details

Azimifar, Z.P. Fieguth, and E. Jernigan, "Towards random field modeling of wavelet statisticspdf", International Conference on Image Processing, Rochester, NY, 2002. Details

Azimifar, Z.P. Fieguth, and E. Jernigan, "Hierarchical multiscale modeling of wavelet-based correlationspdf",Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, pp. 850–860, 2002. Details

Azimifar, Z.P. Fieguth, and E. Jernigan, "Modeling the correlation structure of images in the wavelet domainpdf", 14th Canadian Conference on Electrical and Computer Engineering , vol. 2, Toronto, pp. 1123 - 1127, 2001. Details

Azimifar, Z.P. Fieguth, and E. Jernigan, "Wavelet shrinkage with correlated wavelet coefficientspdf", International Conference on Image Processing, vol. 3, Greece, 2001. Details

Affiliation: 
University of Waterloo

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