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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.