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Many motion blur factors have existed for a long time in film and video (e.g. slow camera shutter speed). The emergence of digital video, and HDTV display technologies, introduced many additional factors that now contribute to motion blur. The following factors are generally the primary or secondary causes of perceived motion blur in video.
OpenFX (OFX), a.k.a. The OFX Image Effect Plug-in API, is an open standard for 2D visual effects or compositing plug-ins. It allows plug-ins written to the standard to work on any application that supports the standard.
In animation, a smear frame is a frame used to simulate motion blur. Smear frames are used in between key frames. [1] This animation technique has been used since the 1940s. [1] Smear frames are used to stylistically visualize fast movement along a path of motion. [2] [3] [4]
In HDRR images, the effect can be reproduced by convolving the image with a windowed kernel of an Airy disc (for very good lenses), or by applying Gaussian blur (to simulate the effect of a less perfect lens), before converting the image to fixed-range pixels.
The first step is an image enhancement network which uses the current frame and motion vectors to perform edge enhancement, and spatial anti-aliasing. The second stage is an image upscaling step which uses the single raw, low-resolution frame to upscale the image to the desired output resolution.
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The main advantage of this technique over conventional spatial anti-aliasing is that it does not require large amounts of computing power.It achieves this by smoothing undesirable jagged edges ("jaggies") [4] as pixels, according to how they appear on-screen, rather than analyzing the 3D model itself, as in conventional spatial anti-aliasing. [1]
It may also use multiple samples for effects like depth of field and motion blur. If evenly-spaced ray directions or times are used for each of these features, many rays are required, and some aliasing will remain. Cook-style, stochastic, or Monte Carlo ray tracing avoids this problem by using random sampling instead of evenly-spaced samples.