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Preprocessing in Hardware

Motion adaptive de-interlacing is one of the most advanced forms of de-interlacing technology available. Motion adaptive de-interlacing combines the best aspects of both Bob and Weave by isolating the de-interlacing compensation to the pixel level. Spatial and temporal comparisons are performed to decide whether or not an individual pixel has motion. Whereas the other methods affect the entire frame of video, motion adaptive de-interlacing (as implemented on the DRC Stream hardware) processes each pixel independently, resulting in the highest quality image possible. Areas of no motion are statically meshed (Weave) and areas where motion is detected are treated with a proprietary filtering technique resulting in very high quality, progressive-scan images. Check out the sample video in our Example Clips section to see the advantage of motion adaptive de-interlacing.

De-interlacing examples

It’s worth noting that the term “motion adaptive” is occasionally colloquially used to describe some algorithms (like VT) that adapt their processing based on whether an entire frame has motion, but the DRC-Stream hardware dynamically adapts right down to the pixel level – full motion adaptive de-interlacing with individual pixel analysis.

Motion Adaptive 3D Noise Reduction

Video noise reduction technology has a very significant impact on overall quality when compressing video. The input source may have video noise caused by poor lighting conditions, analog artifacts, dropouts and other externally sourced noise. Beyond the obvious improvements from removing visible noise from the source video, noise reduction also allows the codecs to work much more efficiently (since the noise would be treated by the compression algorithms as additional picture detail), creating much higher quality output video streams. Digital Rapids encoding systems deliver these benefits through advanced motion adaptive 3D noise reduction.


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