Result for 0A583B93251A738518341EC5C9FF9AA9EF967AF0

Query result

Key Value
FileName./usr/share/doc/enfuse/html/gaussian.png
FileSize39014
MD54FC5BC750ED1F51693A492D1E0962A60
SHA-10A583B93251A738518341EC5C9FF9AA9EF967AF0
SHA-256B1F55456A1A0B94DBF7F5C32B7AC339779368DF3AD9A7A8C5CD6DE0CAC02C7E1
SSDEEP768:LA9P2ipHI1IbJVqiPHdoJAA9dVh7R5aYAxVt+WVekKgZpfvth:k9+ipoGbnqmqSA9dX7RQvxV8WHKgr1h
TLSHT17C03F13C4752D562CCA702A9D273D6AAE571589CA6C521BE933406DCF7100C3FB3579D
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize2509144
MD502702EBFB930E9D117D3659D9B44A5CD
PackageDescriptionimage exposure blending tool Enfuse blends differently exposed images of the same scene into a nice output image, without producing intermediate HDR images that are then tonemapped to a viewable image. This simplified process often works much better and quicker than the currently known tonemapping algorithms. . The exposure blending is done using the Mertens-Kautz-Van Reeth exposure fusion algorithm. The basic idea is that pixels in the input images are weighted according to qualities such as proper exposure, good contrast, and high saturation. These weights determine how much a given pixel will contribute to the final image. . Enfuse does not align images for you. Use a tool like Hugin or PanoTools to do this. The TIFFs produced by these programs are exactly what Enfuse is designed to work with.
PackageMaintainerDebian PhotoTools Maintainers <pkg-phototools-devel@lists.alioth.debian.org>
PackageNameenfuse
PackageSectiongraphics
PackageVersion4.2-10+b1
SHA-1AF9E15422398F394BB7113787C807D1C152216D9
SHA-256EF2729F43FE88A1B01449A91F82FF2C4D4C46192BC414759363CF7F9A2642B8C
Key Value
FileSize2588344
MD5A591732903AEA4E85A0DE41EB1436113
PackageDescriptionimage exposure blending tool Enfuse blends differently exposed images of the same scene into a nice output image, without producing intermediate HDR images that are then tonemapped to a viewable image. This simplified process often works much better and quicker than the currently known tonemapping algorithms. . The exposure blending is done using the Mertens-Kautz-Van Reeth exposure fusion algorithm. The basic idea is that pixels in the input images are weighted according to qualities such as proper exposure, good contrast, and high saturation. These weights determine how much a given pixel will contribute to the final image. . Enfuse does not align images for you. Use a tool like Hugin or PanoTools to do this. The TIFFs produced by these programs are exactly what Enfuse is designed to work with.
PackageMaintainerDebian PhotoTools Maintainers <pkg-phototools-devel@lists.alioth.debian.org>
PackageNameenfuse
PackageSectiongraphics
PackageVersion4.2-10+b1
SHA-1383BD972FDB55708CF19F7A469E2B2C06C031527
SHA-2563EB0B56A9464FC76532F040F2983CA37C3FB0C5B6AFF53D1B998DF785774FA27
Key Value
FileSize2607208
MD5BA1DA16B7EA126B5818D1047E15FBE0D
PackageDescriptionimage exposure blending tool Enfuse blends differently exposed images of the same scene into a nice output image, without producing intermediate HDR images that are then tonemapped to a viewable image. This simplified process often works much better and quicker than the currently known tonemapping algorithms. . The exposure blending is done using the Mertens-Kautz-Van Reeth exposure fusion algorithm. The basic idea is that pixels in the input images are weighted according to qualities such as proper exposure, good contrast, and high saturation. These weights determine how much a given pixel will contribute to the final image. . Enfuse does not align images for you. Use a tool like Hugin or PanoTools to do this. The TIFFs produced by these programs are exactly what Enfuse is designed to work with.
PackageMaintainerDebian PhotoTools Maintainers <pkg-phototools-devel@lists.alioth.debian.org>
PackageNameenfuse
PackageSectiongraphics
PackageVersion4.2-10+b1
SHA-1286498364083BD2C4BAA07DED0B780BAFF859505
SHA-25611329E59C9B05F78091E7BB8D423504B75788853A2C2B20A71E8B64A7C7A02CB