35.3: Resolution Enhancement Based on Shifted Superposition | Zendy

Barshan Elnaz | Zendy; Lamm Mark | Zendy; Scharfenberger Christian | Zendy; Fieguth Paul | Zendy

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35.3: Resolution Enhancement Based on Shifted Superposition

Author(s) -

Barshan Elnaz,

Lamm Mark,

Scharfenberger Christian,

Fieguth Paul

Publication year - 2015

Publication title -

sid symposium digest of technical papers

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.351

H-Index - 44

eISSN - 2168-0159

pISSN - 0097-966X

DOI - 10.1002/sdtp.10449

Subject(s) - resolution (logic) , superposition principle , projection (relational algebra) , projector , set (abstract data type) , computer science , high resolution , image (mathematics) , artificial intelligence , image resolution , computer vision , mathematics , algorithm , remote sensing , geology , mathematical analysis , programming language

We propose a resolution enhancement approach called Shifted Superposition (SSPOS) to project high‐resolution content using a low‐resolution projection system with an opto‐mechanical image shifter. Given a high‐resolution source, SSPOS learns a set of optimum spatially shifted low‐resolution (i.e., the native projector resolution) images whose superimposed projection can reproduce the high‐resolution content on the screen. Extensive evaluations using a variety of metrics demonstrate the efficiency of the proposed SSPOS.

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