Removes noise, grain, and artifacts from video and audio files using advanced FFmpeg filters and hardware acceleration.
This skill equips Claude with specialized knowledge for implementing professional-grade noise reduction workflows using FFmpeg. It provides precise commands for high-quality video denoising via Non-Local Means (NLMeans), temporal averaging, and wavelet transforms, alongside powerful audio cleanup tools like FFT-based denoising and click removal. Whether you are enhancing low-light footage, removing compression artifacts, or cleaning up vocal recordings, this skill offers optimized parameters for balancing quality and speed, including full support for GPU-accelerated processing via OpenCL and Vulkan.
주요 기능
01Pre-configured workflows for low-light enhancement and film grain removal.
027 GitHub stars
03Hardware-accelerated processing with OpenCL and Vulkan for high-speed video cleanup.
04Specialized repair tools for removing audio clicks, pops, and clipping artifacts.
05Advanced audio noise reduction including FFT denoising (afftdn) and non-local means (anlmdn).
06High-fidelity video denoising using nlmeans, hqdn3d, and vaguedenoiser algorithms.
사용 사례
01Pre-processing video to remove noise and artifacts before encoding to improve compression efficiency.
02Removing background hiss and environmental noise from podcast or interview audio.
03Cleaning up grainy low-light or high-ISO video footage for professional production.