How VC-6 works
VC-6 is fundamentally different to most industry mezzanine codecs because it’s based on repeatable s-tree structures rather than block-based DCT or Wavelet transforms. Also, it is not limited to three data planes, i.e. RGB or YUV, but can handle up to 255 separate data planes which can each be a different size or resolution. Each data plane is compressed separately. A hierarchy of different resolutions are created and then the residual differences between them are encoded with a uniquely low-complexity approach. These simple tree structures provide intrinsic capabilities that are well suited to modern computing techniques like massive parallelism.
Region-of-interest decoding
Many image processing applications involve multiple servers decoding images which are often down-scaled to reduce data transfer costs. However, VC-6’s unique pyramidical and specific regions of interest tackle these challenges head-on.
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A feature-rich image format too
VC-6 is also a compelling format for image-only use cases including consumer applications. Whilst today many different image formats are used for different purposes, VC-6 includes all of the key features needed to power fast and responsive user experiences including progressive decode, transparency and region of interest all in a format delivering lower file sizes and faster performance than JPEG, PNG or others.
