Open AccessDevelopment of a scalable image formation pipeline for multiscale gigapixel photography
Author(s) -
D. R. Golish,
Esteban Vera,
Kevin Kelly,
Qian Gong,
Peter Jansen,
John M. Hughes,
David S. Kittle,
David J. Brady,
Michael E. Gehm
Publication year - 2012
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.20.022048
Subject(s) - pipeline (software) , computer science , computer vision , scalability , parallelizable manifold , artificial intelligence , computational photography , computer graphics (images) , remote sensing , compensation (psychology) , field (mathematics) , image processing , image (mathematics) , geology , psychology , mathematics , algorithm , database , psychoanalysis , pure mathematics , programming language
We report on the image formation pipeline developed to efficiently form gigapixel-scale imagery generated by the AWARE-2 multiscale camera. The AWARE-2 camera consists of 98 "microcameras" imaging through a shared spherical objective, covering a 120° x 50° field of view with approximately 40 microradian instantaneous field of view (the angular extent of a pixel). The pipeline is scalable, capable of producing imagery ranging in scope from "live" one megapixel views to full resolution gigapixel images. Architectural choices that enable trivially parallelizable algorithms for rapid image formation and on-the-fly microcamera alignment compensation are discussed.