Invertible Energy-Aware Images

Displaying video content requires significant amounts of energy. In face of the energy crisis and climate emergency, we propose a new approach to produce energy-aware images. The purpose of such images is to consume less energy when displayed onscreen while maximizing the quality of experience. A ne...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 30; pp. 1392 - 1396
Main Authors Meur, Olivier Le, Demarty, Claire-Helene
Format Journal Article
LanguageEnglish
Published New York IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Couplings
Display devices
Energy consumption
Energy management
invertible network
Neural networks
Organic light emitting diodes
Quality of experience
Streaming media
Wavelet transforms
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Summary:Displaying video content requires significant amounts of energy. In face of the energy crisis and climate emergency, we propose a new approach to produce energy-aware images. The purpose of such images is to consume less energy when displayed onscreen while maximizing the quality of experience. A new invertible neural network called Invertible Energy-Aware Network (InvEAN) is proposed to produce invertible energy-aware images, allowing to reduce the energy consumption of display devices and offering the possibility to recover the original image if required. Experimental results show that the InvEAN network outperforms two existing methods over three datasets.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2023.3320558