Low-light images suffer from shot noise, read noise, color shifts, and loss of detail. Mobile devices impose strict latency, memory, and power limits. Prior methods either use heavy networks or simple denoisers that oversmooth. We present SICFLICS: a compact pipeline that integrates sensor-aware noise priors, per-pixel exposure fusion using multi-exposure synthesis from a single RAW capture, and a small UNet trained with perceptual + frequency losses.
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At its core, a is a subgenre of thriller/horror that focuses on sickening realism and psychological fragility . The "Sic" is a deliberate truncation of "sick"—referring to the moral sickness of the characters or the queasy feeling the film leaves in the viewer's stomach. Low-light images suffer from shot noise, read noise,
Perhaps the most physically "sick" film on the list. Based on the true story of German serial killer Fritz Honka, this film is shot with such grotesque detail (the set literally stank of real decaying food and fake blood) that it transcends horror into visceral anthropology. It is a Sicflic because it refuses to glamorize the killer; it shows him as a pathetic, drunken failure. We present SICFLICS: a compact pipeline that integrates