Wednesday, February 14, 2024

Talk on digital camera misunderstandings and HDR

Wayne Prentice presented a talk titled "Digital Camera Myths, Mis-statements and Misunderstandings" at the NY chapter meeting of IS&T (Society for imaging Science and Tech.) on 17 Jan. 2024.

Abstract: The digital camera system is deceptively complex.  Understanding camera operation/design requires some knowledge of the parts:  photometry, radiometry, optics, sensor physics, sensor design, signal processing, image processing, color science, statistics, human perception, and image/video encoding. With all these parts, it is easy to miss something. This talk was inspired by interactions with co-workers and clients.  It has been my experience that some subtle, yet important points are often missed and can lead to suboptimal product and design decisions that could be avoided. The goal of this talk is to fill in some of those gaps.

Another version of the talk at RIT imaging science weekly seminar on Feb 7, 2024:

CIS Weekly Seminar: Wayne Prentice - Digital Camera Myths, Misstatements, and Misunderstandings

Wayne Prentice also gave a talk in 2022 on HDR at the NY IS&T chapter meeting:

High Dynamic Range (HDR) Imaging: Theory and Practical Considerations

Bio: Wayne has been working in the imaging industry for over 35 years. He has a BSEE from Clarkson University and a Masters in Imaging Science from RIT. Wayne has worked on imaging equipment ranging from x-ray, CAT scanners, MRI, extra-terrestrial imaging, and digital cameras. Much of Wayne's digital camera experience came from 17 years working at Kodak R&D, product development for digital cameras. He holds 16 US patents in digital imaging. At Kodak Wayne became the lead image scientist and manager for Digital Camera R&D group. He was responsible for competitive testing, image quality testing, new feature development, and image science aspects of product commercialization. Wayne has worked as an independent contractor over the past 5 years providing solutions to a wide range of imaging challenges, mostly in the areas of developing custom camera applications, computer vision and HDR imaging.

1 comment:

  1. The first lecture does a good job of dispelling common myths people have about digital imaging. A common myth I hear a lot: low-light images have more noise. Of course, what people really mean when they say this is that the SNR is lower. Not sure I totally agree that shot noise is in general the dominant source of noise though...but I get that this lecture is sticking to broad generalizations that may not capture some of the nuance.


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