His research focuses on developing 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. Two of his 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 the development of machine perception algorithms for texture and shape. Applications include enhancement and restoration for remote sensing (SAR) and medical (ultrasound, MRI, PET) images.
Jernigan is a passionate teacher and in 2004 he created a university-wide enrichment program called Waterloo Unlimited for high school students of exceptional potential.