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Deep Bilateral Learning for Real-Time Image Enhancement

Deep Bilateral Learning for Real-Time Image EnhancementMICHA L GHARBI,MIT CSAILJIAWEN CHEN,Google ResearchJONATHAN T. BARRON,Google ResearchSAMUEL W. HASINOFF,Google ResearchFR DO DURAND,MIT CSAIL / Inria, Universit C te d Azur12 megapixel 16-bit linear input(tone-mapped for visualization)tone-mapped with HDR+400 600 msprocessed with our algorithm61 ms, PSNR = dBFig. 1. Our novel neural network architecture can reproduce sophisticated Image enhancements with inference running in real time at full HD resolution onmobile devices.

Deep Bilateral Learning for Real-Time Image Enhancement MICHAËL GHARBI, MIT CSAIL JIAWEN CHEN, Google Research JONATHAN T. BARRON, Google Research SAMUEL W. HASINOFF, Google Research FRÉDO DURAND, MIT CSAIL / Inria, Université Côte d’Azur 12 megapixel 16-bit linear input

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