Result for 318BD067DC5B31A141BEDF97E195CFABCEC1BE95

Query result

Key Value
FileName./usr/share/doc/enfuse/enfuse.pdf
FileSize1384730
MD575A5E7E898740D706E99364D49C75B67
SHA-1318BD067DC5B31A141BEDF97E195CFABCEC1BE95
SHA-256D29DEC6BDA8BA8B88438CA32C3F8A1332E0B9E97624C512D560FF2118880A071
SSDEEP24576:6mkEyXla+eODWS6/MauTt/rFscJRXdzvPSMa9lXdaRJEcxPDd:6eyReODznNbNbFa99sgI
TLSHT1B855239EEB3B241CD112C654F91C618281DB80F3192C49B7B59C8B51374DEE1BE72AFA
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
FileSize2473476
MD5AF04CAEE9E73527C7133D6F4CF56CCB1
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
PackageVersion4.2-8
SHA-190292532FB9EEFA99CC39884B673FCD2938BDA33
SHA-2564C40361927FAABA167934312F72690BE13DA4BC1D6F03117A3766377D7C742E2
Key Value
FileSize2461480
MD5B07764AFD2A86C55FA9A7F2B2CA8215E
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNameenfuse
PackageSectiongraphics
PackageVersion4.2-8
SHA-1E63AD5918FADA5D97ECF727C5EFC18544452BDF2
SHA-25615F808BA64EC10499A19DC400BF9ADF4B216E26A83EBC4ECC55E12CE794C63DC
Key Value
FileSize2579296
MD5ED44831755F96AD605AC32A7FD9CC7D9
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
PackageVersion4.2-8
SHA-18AAEF630BA7CABEBA76983FB6B6B46CF4FE8CDFA
SHA-256863EF283E4BD77CB4F2E1E68AA3119128D7DD091423B9EBC46C9792019D941B5