Result for 34FD974D73C33087253D8738B74DD3D5F0BD5728

Query result

Key Value
FileName./usr/share/doc/enfuse/html/lorentzian.png
FileSize28814
MD5F354BC29593839B1AE7C10C279E2CBB5
SHA-134FD974D73C33087253D8738B74DD3D5F0BD5728
SHA-256D1A6FBE6F782E44A906B4B054BB997511773B824D3DAC62202C76A1714E0D406
SSDEEP384:Qskjvb4Hdxh+H+mZS4A9X+TW61mwY/+sIa07K+hkkDfQD3ZDZPfPFRWAX2k:QskjvudGemZfcuTJm76+0DfQDJFfTB2k
TLSHT1D6D2E08472A06565F6029A7E0989AE31D23B243D6BFC71FC4F387F50A10B752AD3D184
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
FileSize2126392
MD5B44078C8498139CDA876F08F620F17F1
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
PackageVersion4.2-6build2
SHA-1647F83DA7081A7753A2F46091F88D9D689AF61F6
SHA-25649000268EEE866121D7B6AE2C4562B644CCD32A7FD30DF4CE771F9BC33858C20
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
FileSize2061236
MD5ADD3BEBF5E147194F782E1245C2B2729
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
PackageVersion4.2-6build4
SHA-1E18BC0395DF6C4C204FC118DA22E5179EC8B4DA4
SHA-25695AFD2D19B70F15BF2CB094353CCF6FBF1A1C2C23CA4F29653982AF65CB4C0F1