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This paper introduces Spectral Filmyzilla, a novel architecture designed to address the increasing computational demands of high-fidelity holographic video rendering and streaming. As digital media shifts toward volumetric representations, traditional compression algorithms fail to maintain phase-coherency across spectral domains. We present a distributed processing model that utilizes spectral decomposition to prioritize visual data packets based on human perceptual thresholds. Our results demonstrate a 40 percent reduction in latency for 8K light-field streaming while maintaining a peak signal-to-noise ratio (PSNR) comparable to local hardware rendering. Introduction spectral filmyzilla
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