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Poster
: Bound-constrained Optimized Dynamic Range Compression
SessionPosters: Image Processing & Computer Vision
Contributors
Dorian Y. Chan
James F. O'Brien
Event Type
Poster
Interest Areas
Arts & Design
Research & Education
Registration Levels
US
UA
EN
EU
Keywords
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe propose a new bound-constrained framework for high dynamic range compression that computes a globally optimal manipulation of input pixel differences that is free of spatial artifacts while preserving local detail.
Contributors
Dorian Y. Chan
Carnegie Mellon University
James F. O'Brien
University of California, Berkeley