| [Click to download a package with the executable and examples] |
| [More obscure glass filtered images and kernels] |
| [More spatially variant blurred images and kernels] |
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There are two command-line
executables in the package.
spvdeconv.exe : It is for spatially variant non-blind image deconvolution. It
takes a blurred image and a spatially variant blur kernel (spvkernel). The
command is:
spvdeconv.exe distort_image_name out_image_name kernel_file_name
smoothness_weight
lockernel2spvkernel.exe: It is used to transform location kernels into a
spvkernel |
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For more details about the format of a sparse kernel file (.skl), please
refer to the SKL Format page. |
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Version Information
Distribution Version: 0.1, 07/13/2011
This program is tested on Windows XP, 2003 Server, Vista and Windows 7. It
is still not guaranteed to be bug-free and work properly with all versions of
Windows. It is for education and research ONLY. |
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| Related publications |
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1. Qi Shan, Brian Curless, and Tadayoshi Kohno, "Seeing through Obscure Glass",
European Conference on Computer Vision (ECCV), 2010.
2. Ankit Gupta, Neel Joshi, Larry Zitnick, Michael Cohen, and Brian Curless,
"Single Image Deblurring Using Motion Density Functions", European Conference on
Computer Vision (ECCV), 2010.
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| Please contact Qi Shan for any question
concerning the released program. |
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Examples
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Input images |
Results |
Kernels |
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