Although the Chinese are credited with having originally developed a printing technology in 868 with the publication of the Diamond Sutra printed using wood-cut blocks, it was Johann Gutenberg’s invention of the moveable type press in 1450, which led to over 9M printed books in circulation within 50 years. Four centuries later in 1852, William Fox Talbot introduced the haftone screen that made it possible to print continuous-tone images with a full range of perceived gray values using a binary-only process. Even more recently, digital technologies for printing and document preparation that emerged in the 1970s and 1980s have enabled the adoption of printing as a medium for visual communication that is accessible to a much broader group of individuals. During the first part of this presentation, I will discuss our work with digital printing for visual communication, including a halftoning algorithm that can be found in over a billion printers that have been sold world-wide, and numerous projects to identify and assess print quality defects.
Also, more recently, printing technologies have been adapted to the manufacture of functional devices. During the second part of this presentation, I will discuss our on-going efforts to develop machine learning and deep learning based methods to predict the performance of thin-film soil nitrate concentration sensors fabricated using roll-to-roll technologies, based on just an image of each sensor’s ion-selective membrane. As a separate project, I will discuss our efforts to develop low-cost paper-based sensors for detection of food-borne pathogens and heavy metal contaminants that can easily be deployed closer to the point of sale of food products.
Jan P. Allebach is Hewlett-Packard Distinguished Professor of Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana with courtesy appointments in Computer Science and Psychological Sciences. Imaging has been a central theme of his research; and he has made many contributions in the areas of printing and scanning, content repurposing, image quality, and image aesthetics.
Professor Allebach has received numerous recognitions for his research and teaching. He is a Fellow of IEEE, IS&T (The Society for Imaging Science and Technology), and SPIE. He was named Electronic Imaging Scientist of the Year by SPIE and IS&T, and received Honorary Membership from IS&T, which is its highest award. He received the Daniel E. Noble Award for Emerging Technologies an IEEE Field Award. Allebach also received the Edwin Land Medal from the Optical Society of America and IS&T, and the Johann Gutenberg Prize from IS&T. He was elected to Membership in the National Academy of Engineering, and Fellowship in the National Academy of Inventors. From Purdue University, he has received ten different awards for teaching, research, and mentorship. He has served two separate terms as IEEE Signal Processing Society Distinguished Lecturer.