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Invertible Image Signal Processing
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Unprocessed RAW data is a highly valuable image format for image editing and computer vision. However, since the file size of RAW data is huge, most users can only get access to processed and compressed sRGB images. To bridge this gap, we design an Invertible Image Signal Processing (InvISP) pipeline, which not only enables rendering visually appealing sRGB images but also allows recovering nearly perfect RAW data. Due to our framework's inherent reversibility, we can reconstruct realistic RAW data instead of synthesizing RAW data from sRGB images without any memory overhead. We also integrate a differentiable JPEG compression simulator that empowers our framework to reconstruct RAW data from JPEG images. Extensive quantitative and qualitative experiments on two DSLR demonstrate that our method obtains much higher quality in both rendered sRGB images and reconstructed RAW data than alternative methods.
Forward citations
Cited by 20 Pith papers
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Direct Evidence for AGN Feedback from Fast Molecular Outflows in Reionization-Era Quasars
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Direct Evidence for Outflow Driven by Wolf-Rayet Stars in the Nearby Galaxy PGC44685
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Stellar feedback drives the baryon deficiency in low-mass galaxies
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Impact of Cosmic Ray-driven Outflows on Lyman-$\alpha$ Emission in Cosmological Simulations
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Mapping feedback signatures in 3C 297: A quasar-host merger at Cosmic Noon
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Interstellar dust production, destruction and effects of dust depletion in galaxies
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