Abstract: An improved image foveation method is described employing a more complete digital model of the retina and coordination of one or more nodes for foveated image creation, processing, compression and display.
Type:
Application
Filed:
January 25, 2022
Publication date:
December 26, 2024
Applicant:
Quantum Radius Corporation
Inventors:
Frank Christofferson, Timothy R Wahlers, John Ewalt, Jeffrey D George, Kevin Bowman
Abstract: A method and system for minimizing image compression processing, transmission latency and bandwidth use by efficiently coordinating one or more distributed producers or consumers of images, sub images, macro images and their corresponding relevant data. By generalizing and coordinating distributed device compression, many disparate elements of the formerly unidirectional image compression pipeline may share additional information that allows each and every element to seek and implement improved compression and compositional optimization.
Abstract: A system is described for distributing images from a plurality of image capture devices using shared per-pixel parameter definitions for the images over a network of coordinated GPUs, processors, remote IoT devices and services, where minimal information transfer over the network is achieved by using pre-defined quantum states and minimizing serial stages and the coordination over the network is optimized using a machine learning engine.
Type:
Grant
Filed:
May 16, 2019
Date of Patent:
May 11, 2021
Assignee:
Quantum Radius Corporation
Inventors:
Frank C. Christofferson, Timothy R. Wahlers