Email: 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
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 map
", 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 identification", 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 separability", 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 features", 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 resolutions", International Conference on Image Analysis and Recognition, vol. 3, 2005. Details
Azimifar, Z., P. Fieguth, and E. Jernigan, "Textures and wavelet-domain joint statistics", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004. Details
Azimifar, Z., P. Fieguth, and E. Jernigan, "Hierarchical Markov models for wavelet-domain statistics", 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 sequences",IEEE International Conference on Image Processing, vol. 3, Spain, 2003. Details
Azimifar, Z., P. Fieguth, and E. Jernigan, "Towards random field modeling of wavelet statistics", International Conference on Image Processing, Rochester, NY, 2002. Details
Azimifar, Z., P. Fieguth, and E. Jernigan, "Hierarchical multiscale modeling of wavelet-based correlations",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 domain", 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 coefficients", International Conference on Image Processing, vol. 3, Greece, 2001. Details
