6 modules - PI-VR GmbH

6 MODULES196· Clamping the image values to a specified maximum value. Be awarethat the results may look dull if the clamping value is set too high.Caution: Activating clamping and reducing the value will reduce themaximum resulting image color range.» Pixel Filter: A pixel filter weights the image samples taken per pixel and thereforecontrols the antialiasing quality of the rendering. High image filter sizesmay result in blurry image results.• Filter: There are 10 different pixel filter available in VRED:· Triangle Filter: The triangle filter linearly distributes the samples betweenthe various pixels. It gives decent results and is therefore thedefault pixel filter in VRED. It should be used with a size of 1.0 independentof screen resolution.· Box Filter: The box filter is the simplest pixel filter. It weights each imagesample equally. A size of 0.5 should be used for this pixel filter.· Gaussian Filter: The gaussian filter uses a gaussian function to weightthe samples. Samples near the center of a pixel receive a larger weightcompared to samples that are further away from the pixel center. Itgives slightly better results compared to the triangle filter in some situations.A size of 1.0 to 1.2 is recommended.· Mitchell Netravali: The mitchell netravali filter prevents blurring that mayoccur when using box, triangle, gaussian, or bspline filter by sharpeningthe image. It gives the highest quality result but may suffer from ringingon hard contrast edges. A size of 2.2 is recommended.· Lanczos Filter: The lanczos filter is a sinc-based filter that does an optimalreconstruction of the image. It delivers very sharp high qualityresults but may suffer from ringing. A size of 2.5 is recommended.· Bspline Filter: The bspline filter uses a bspline function to weight thesamples. It gives results comparable to gaussian filtering but suffersless from blurring. A value of 1.3 to 1.5 is recommended.