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P‐35: Human Visual System Inspired Artifact Reduction in Projector Compensation
Author(s) -
Sankar Vignesh,
Fieguth Paul,
Lamm Mark
Publication year - 2019
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.13190
Subject(s) - projector , computer vision , computer science , artificial intelligence , brightness , luminance , projection (relational algebra) , compensation (psychology) , high dynamic range , contrast (vision) , dynamic range , optics , physics , algorithm , psychology , psychoanalysis
Projection onto an arbitrary surface requires radiometric compensation to correct for distortions caused by the colors and texture of the underlying surface. Radiometric compensation modifies the projector input image with respect to the projection surface characteristics. Due to the limited dynamic range of any projector, the modified target image can easily go beyond the projector intensity limits, causing saturation artifacts. In this paper, a novel locally‐adaptive, spatial luminance modification framework is presented to reduce brightness/contrast demands on the projector during radiometric compensation.