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Proceedings Paper

Automatically designing an image processing pipeline for a five-band camera prototype using the local, linear, learned (L3) method
Author(s): Qiyuan Tian; Henryk Blasinski; Steven Lansel; Haomiao Jiang; Munenori Fukunishi; Joyce E. Farrell; Brian A. Wandell
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Paper Abstract

The development of an image processing pipeline for each new camera design can be time-consuming. To speed camera development, we developed a method named L3 (Local, Linear, Learned) that automatically creates an image processing pipeline for any design. In this paper, we describe how we used the L3 method to design and implement an image processing pipeline for a prototype camera with five color channels. The process includes calibrating and simulating the prototype, learning local linear transforms and accelerating the pipeline using graphics processing units (GPUs).

Paper Details

Date Published: 27 February 2015
PDF: 6 pages
Proc. SPIE 9404, Digital Photography XI, 940403 (27 February 2015); doi: 10.1117/12.2083435
Show Author Affiliations
Qiyuan Tian, Stanford Univ. (United States)
Henryk Blasinski, Stanford Univ. (United States)
Steven Lansel, Olympus Corp. of the Americas (United States)
Haomiao Jiang, Stanford Univ. (United States)
Munenori Fukunishi, Olympus Corp. of the Americas (United States)
Joyce E. Farrell, Stanford Univ. (United States)
Brian A. Wandell, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 9404:
Digital Photography XI
Nitin Sampat; Radka Tezaur; Dietmar Wüller, Editor(s)

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