Dec 10th 2010

Smoothing an image without losing all the edges, that’s what the Bilateral Filter is made for. It basically performs a Gaussian blur not only in the image dimensions, but also on the color intensities. Therefore it will smooth homogeneous areas while at the same time respecting the image’s edges. The following example shows the effect very well.

The current version is for Fusion 6.1 in 64 bit only. It provides the standard bilateral filter as well as the cross bilateral filter for grayscale and color images. DoD and RoI can be used to limit processing to a desired section of the image. Since the exact filter is very slow when applying large filter kernels, calculation in OpenCL with an optional approximation method is implemented as well. First tests on supported graphic cards show a speed up by a factor of 3-5 for OpenCL with default parameters. On gray scale images with large filter sizes, the approximation method can be more than a hundred times faster.

Download Bilateral Filter 1.2Download Bilateral Filter

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Oct 29th 2010
Quilt

Here’s is a plugin  to tile multiple frames into a single output image. We’re calling it “Quilt”. The plugin should be downloaded and copied into one of the fusion plugin directories. We’ve uploaded both the 32 and 64 bit versions for windows.
The plugin provides options to change the start/end frame, the size of the output image and filter to use when the input is re-sized. Also available are provisions to pad the output, trim it and an option to preserve/alter the input’s aspect.
The tool should tile all the input frames into the output in an “optimal” layout. It should be useful when you want a overall view of all the frames you’re interested in.

Download Quilt 1.1Download Quilt

PS: We’ve uploaded the newer version of quilt that was tested with Fusion6.1, 6.2 and 6.3 for x64. This should fix any crash issues that were present in the previous version. This version supports an additional option whereby the user can specify an output scale.
This is useful if the user doesn’t care about the size of the output, just as long as the input image is scaled by a specific factor. Enter the factor in this input field and select the “Use:” checkbox right next to it to enable this option.

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