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By setting the alpha values of pixels to zero, users can manually remove those pixels from consideration when blending. I encourage you to experiment (perhaps using downsized images for speed).Įnfuse allows each input image to have an alpha channel. Playing with the weights may or may not give you a more pleasing result. The quality of the result is subject to your artistic interpretation. The impact of these parameters on the final result will not always be clear. For example, if you set -wExposure=1.0 and -wSaturation=0.5, Enfuse will favor well-exposed pixels over highly-saturated pixels when blending the source images. You can adjust how much importance is given to each criteria by setting the weight parameters on the command line. The Mertens-Kautz-Van Reeth paper suggest using a laplacian filter, but the standard deviation produces much better results for differently focused images. The local gray or color value standard deviation is used as a contrast measure.
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There always was a risk of getting banding or even reversed gradients within areas where the brightness gradually changed.Įnfuse solves this problem by using the multi resolution spline blending technique well known from enblend and smartblend - and it is actually this step which is responsible for the wonderful results. The problem of all this techniques was to find good transitions between the areas taken from differently exposed images. Many such "DRI" or "Exposure Blending" solutions exist. Ardeshir Goshtasby proposed a technique to select and blend only well exposed blocks and Erik Krause provided a photoshop action to smart mask badly exposed areas. These weights determine how much a given pixel will contribute to the final image. The basic idea is that pixels in the input images are weighted according to qualities such as proper exposure, good contrast, and high saturation.
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This simplified process often works much better than the currently known tonemapping algorithms.Įnfuse can also be used to build extended DOF images, by blending a focus stack. This is a quick way to blend differently exposed images into a nice output image, without producing intermediate HDR images that are then tonemapped to a viewable image. unknown, whether could be fixed easily DescriptionĮnfuse merges overlapping images using the Mertens-Kautz-Van Reeth exposure fusion algorithm. Workaround: use on zenith and nadir images separately and stitch them in the resulting pano afterwards. If contrasty structures are near zenith or nadir in an equirectangular image, there might be an artifact (vortex) in the resulting pano.For a list of bugs in previous versions please refer to an older version of this page This is a list of known bugs in the current version as linked above. (scroll down on that page) for MacOSX.
Where is lr enfuse stored on your hard drive code#
On that site you will find the 3.2 version source code as well as precompiled windows binaries.īeta (development) releases can be downloaded from On 8 September 2008 the first official version of enfuse has been released together with enblend.Įnfuse/enblend can be downloaded from.