Automatically designing an image processing pipeline for a five-band camera prototype using the local, linear, learned (L3) method

Qiyuan Tian; Henryk Blasinski; Steven Lansel; Haomiao Jiang; Munenori Fukunishi; Joyce E. Farrell; Brian A. Wandell

doi:10.1117/12.2083435

27 February 2015 Automatically designing an image processing pipeline for a five-band camera prototype using the local, linear, learned (L³) method

Qiyuan Tian, Henryk Blasinski, Steven Lansel, Haomiao Jiang, Munenori Fukunishi, Joyce E. Farrell, Brian A. Wandell

Author Affiliations +

Proceedings Volume 9404, Digital Photography XI; 940403 (2015) https://doi.org/10.1117/12.2083435
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

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).

Citation Download Citation

Qiyuan Tian, Henryk Blasinski, Steven Lansel, Haomiao Jiang, Munenori Fukunishi, Joyce E. Farrell, and Brian A. Wandell "Automatically designing an image processing pipeline for a five-band camera prototype using the local, linear, learned (L³) method", Proc. SPIE 9404, Digital Photography XI, 940403 (27 February 2015); https://doi.org/10.1117/12.2083435

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