Free Plugins

This plugin can be used to provide stereo output on standard displays. OpenFlipper can render two images (one for the left eye and one for the right eye). If no special stereo display is available, the Anaglyph Stereo postprocessor can take the images, shift them to red and green and blend them together. The resulting image can be watched with red green glasses providing a 3D view of the rendered content.

Bilateral blurring takes the depth of the scene into account. It is possible to control the smoothness in spatial and depth range individually. This way edges can be preserved for example.

Next to the color image, the renderers produce a depth image describing the distance of each rendered scene pixel to the viewer. The Depth Image Postprocessor plugin replaces the final rendered color image in the viewer by the depth image. The depth values are mapped to a grayscale image in the postrocessing step.

Depth of Field simulates a lense model instead of a pinhole camera. Objects are blurred based on the distance to the plane in focus. Bokeh is a blurring effect that takes the shape of the camera aperture blades into account.
Depth of Field
Bokeh

The FXAA plugin implements an approximate anti-aliasing technique in a post processing step. Anti-aliasing is achieved by blurring the image along contrast edges.

[ Timothy Lottes, "FXAA", Febuary 2009 NVIDIA ]

The image is blurred with a standard seperable Gaussian filter.

This plugin takes the rendering output and removes the color from it. It uses the input brightness to compute the resulting grayscale values.

This plugin processes the rendered images to be displayed on Philips Autostereoscopic Displays. These Displays take a color image on the left and a depth image on the right. Additionally some flags (additional blue pixels) are added in the top left corner which are used to control the display behaviour.

Note: You have to switch OpenFlipper to fullscreen (Strg+F) when you use it on these Displays and this postprocessor has to be the last one in the postprocessor chain.

The image is blurred with a Poisson kernel. Samples in a Poisson kernel have a minimal distance to each other.

The image is blurred radially from a center pixel. Center and strength are controllable.

This postprocessor plugin takes the output image and applies a sobel operator to it.