About This Webinar
The phrase “garbage in, garbage out” is applicable to both machine and human vision. Improving the quality of image data at the source by removing noise will have far-reaching impacts such as improved accuracy later in the pipeline, particularly in the challenging conditions of low light or high dynamic range.
This presentation covers a new AI-based approach for removing image noise and preserving image quality in real time. Munitz shares the latest results demonstrating how this approach performs with commonly used image sensors. This method features very low computer resource requirements, making it suitable for battery-powered devices at the edge.
*** This presentation premiered during the
2023 Vision Spectra Conference. For more information on Photonics Media conferences, visit
events.photonics.com.
About the presenter
Benny Munitz is the vice president of business development at Visionary.ai and holds a bachelor’s and master’s degree in electrical engineering. He has 17 years of experience in business development and strategy in the semiconductor and automotive industries. Prior to joining Visionary.ai, he led Arm's competitive strategy in the automotive market and was sales director at Imagination Technologies.