This paper proposes an objective film grain similarity model using a data-driven approach, which aligns closely with human perception, demonstrating a high correlation with subjective studies.
Digital cinematography has advanced, yet many artists prefer film rolls for their distinctive texture and essence, with film grain being integral to their artistic expression. However, Over-the-Top (OTT) providers and streamers face challenges with this high-entropy signal, unfriendly to compression due to limited bandwidth. Preserving film grain involves removing it at the source and resynthesizing it post-decoding, a strategy supported by codecs like AV1 and VVC, albeit potentially compromising grain fidelity.
Our subjective studies, presented at IBC 2023, examined existing film grain synthesis methods, revealing shortcomings in replicating the original grain appearance. In this paper, we propose...
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