Blur Image Directionally (vuo.image.blur.directional)

Distorts the image with a blur effect along a line.

This node applies a linear gaussian blur to the passed image. The radius determines how blurry the output image will appear.

• Image — The image to blur.
• Mask — Controls how much each part of the image is blurred. If no mask is provided, the image is uniformly blurred by the amount specified in Radius. Bright/opaque areas in the mask cause the corresponding part of Image to be heavily blurred (up to Radius); dark/transparent areas in the mask cause no blur. The mask is stretched to match the width and height of the other image.
• Shape — The relative weights of the pixels factored into the blur.
  • The Gaussian distribution (“bell curve”) is smoothest, but its long asymptotic tail makes it expensive to compute.
  • The linear distribution is almost as smooth, and is faster to compute.
  • The box distribution (constant) weights all pixels equally, resulting in relatively sharp edges, and is thus good for simulating motion blur.
• Radius — The maximum radius, in points, to affect when applying the blur. Larger values mean more blurry, while a value of ‘0’ will result in a non-blurred output image.
• Angle — The counterclockwise rotation of the streak, in degrees. When Angle is 0, the streak is horizontal.
• Symmetric — If true, the image is blurred in both directions along the line. If false, the image is only blurred in one direction.
• Expand Bounds — If false, the image size will remain the same. If true, the image will expand to encapsulate the blurred pixels around the border.
• Quality — The ratio of pixels to factor into the blur calculation. When 1, all necessary pixels are examined, resulting in an accurate blur. When less than 1, fewer pixels are examined, resulting in a faster-but-less-accurate blur.

Keywords: DOF, box, censor, defocus, depth of field, detail, diagonal, distort, filter, gaussian, horizontal, linear, motion, obscure, ramp, smooth, smudge, soften, triangle, unfocus, variable, vertical

Example composition:

• Compare Directional Blurs: Shows an image with 3 different directional blur shapes.