The consumption of a video requires a considerable amount of energy during
the various stages of its life-cycle. With a billion hours of video consumed
daily, this contributes significantly to the greenhouse gas emission.
Therefore, reducing the end-to-end carbon footprint of the video chain, while
preserving the quality of experience at the user side, is of high importance.
To contribute in an impactful manner, we propose 3R-INN, a single light
invertible network that does three tasks at once: given a high-resolution
grainy image, it Rescales it to a lower resolution, Removes film grain and
Reduces its power consumption when displayed. Providing such a minimum viable
quality content contributes to reducing the energy consumption during encoding,
transmission, decoding and display. 3R-INN also offers the possibility to
restore either the high-resolution grainy original image or a grain-free
version, thanks to its invertibility and the disentanglement of the high
frequency, and without transmitting auxiliary data. Experiments show that,
while enabling significant energy savings for encoding (78%), decoding (77%)
and rendering (5% to 20%), 3R-INN outperforms state-of-the-art film grain
synthesis and energy-aware methods and achieves state-of-the-art performance on
the rescaling task on different test-sets.

通过提供具有最低可行质量的内容，3R-INN 有助于降低编码、传输、解码和显示的能量消耗，出色地完成了去噪和能量节约任务，并在不同的测试集上在调整大小任务上取得了最先进的性能。