![]() Check out the tech blog for an overview and the technical paper published in PCS 2021 (note that the paper describes an initial version of CAMBI that no longer matches the code exactly, but it is still a good introduction). ![]() () We are open-sourcing CAMBI (Contrast Aware Multiscale Banding Index) - Netflix's detector for banding (aka contouring) artifacts.We have also sped up CAMBI (e.g., around 4.5x for 4k). () We have added to CAMBI the max_log_contrast input parameter to allow to capture banding with higher contrasts than the default.() We have added to CAMBI the full_ref input parameter to allow running CAMBI as a full-reference metric, taking into account the banding that was already present on the source.Read this tech blog post for an overview, this post for the tips of best practices, and this post for our latest efforts on speed optimization, new API design and the introduction of a codec evaluation-friendly NEG mode.Īlso included in libvmaf are implementations of several other metrics: PSNR, PSNR-HVS, SSIM, MS-SSIM and CIEDE2000. The Python library also provides a set of tools that allows a user to train and test a custom VMAF model. This software package includes a stand-alone C library libvmaf and its wrapping Python library. VMAF is an Emmy-winning perceptual video quality assessment algorithm developed by Netflix. VMAF - Video Multi-Method Assessment Fusion
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