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Learning a Basis to Compress Underwater Media

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0642
Agency Tracking Number: N231-038-0800
Amount: $140,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N231-038
Solicitation Number: 23.1
Timeline
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-04
Award End Date (Contract End Date): 2024-02-05
Small Business Information
6800 Cortona Drive
Goleta, CA 93117-3021
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Perry Naughton
 (805) 968-6787
 pnaughton@toyon.com
Business Contact
 Marcella Lindbery
Phone: (805) 968-6787
Email: mlindbery@toyon.com
Research Institution
N/A
Abstract

A practical method of visually lossless image compression is proposed that has an estimated compression ratio better than 100:1. The method combines tested error-tolerant encodings with modern super resolution techniques that are known to have good rate-distortion performance. Current error-tolerant encodings are often designed for optical data, which have a spatial frequency distribution that varies from sonar and other modalities. This proposal outlines simple changes to the encodings that can cater to different spatial frequency distributions and focus on spatial frequencies that are informative to the super resolution method. These changes are learned using representative data, which makes them extensible to new modalities or operating conditions. The proposed method does not require extensive computation on the vehicle or edge device, making it a practical solution for robotic applications.

* Information listed above is at the time of submission. *

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