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1. #Super denoising for windows mac os#
2. #Super denoising for windows .exe#
3. #Super denoising for windows for windows 10#
4. #Super denoising for windows windows 10#

LFBM3Ddenoising path/to/sourceLF SAI _ 17 17 0 0 1 1 row 10 2.7 path/to/noisyLF path/to/basicLF path/to/denoisedLF path/to/diffLF 16 16 8 3 bior 0 32 16 8 3 dct 0 opp 0 outputMeasuresLFBM3D.txt LFBM5Ddenoising path/to/sourceLF SAI _ 17 17 0 0 1 1 row 10 2.7 path/to/noisyLF path/to/basicLF path/to/denoisedLF path/to/diffLF 8 18 6 16 4 id sadct haar 0 16 18 6 8 4 dct sadct haar 0 opp 0 outputMeasuresLFBM5D.txt See the next section for a detailed description of command line parameters. The following command line examples were used to generate results in. Make sure that libfftw3f-3.dll is in the same folder as your executable. testing/outputMeasuresLFBM3D.txtįor Windows users, we recommend using the Developer Command Prompt for Visual Studio to run these commands, and replace. testing/sourceLF SAI _ 3 3 1 1 1 1 row 25 2.7. testing/diffLF 8 18 6 16 4 id sadct haar 0 16 18 6 8 4 dct sadct haar 0 opp 0. Then run one of the following command to test the executable of your choice: testing/sourceLF a (very) small example light field consisting of 3x3 color sub-aperture images of size 256x256, obtained from the Lego Knights light field of the Stanford dataset.įirst run: mkdir. This generates two executables named LFBM5Ddenoising and LFBM3Ddenoising (.exe on Windows).įor testing purposes, we provide in folder.

#Super denoising for windows windows 10#

On Windows 10 run the BM5DProject.sln and compile with Visual Studio. ( You might want to add the options similar to -G "Visual StuWin64" on Windows 64).

#Super denoising for windows mac os#

On Ubuntu run apt-get install libpng-dev and apt-get install libfftw3-dev, on Mac OS run brew install libpng and brew install fftw. This code requires the libpng library and the fftw library.

#Super denoising for windows .exe#

exe is not working or you wish to modify the code, you will have to compile it yourself using Visual Studio, see install_Windows10.md for more details.

#Super denoising for windows for windows 10#

For Windows 10 users, we provide an executable which should be compatible with 圆4 platforms. The source code can be compiled on Unix/Linux/Mac OS using the cmake and make program. Indexes for image dimensions will be denoted i and j (legacy from the BM3D implementation, noted x and y in ).Image size will be denoted as usual width and height (and associated derivations).

Indexes for angular dimensions will be denoted s and t (and associated derivations).In general, prefix 'a' before a variable stands for angular.Angular size will be denoted awidth and aheight (and associated derivations) for angular width and angular height (noted $n_a$ in ).Otherwise, the light field is considered to be ordered column-wise, and the parameter angMajor should be set to 'col'.įuthermore, the following conventions/notations are adopted in the code: If the corresponds to the row indexes of your light field, the light field is considered to be ordered row-wise, and the parameter angMajor should be set to 'row'. 'SAI' as in our testing example, 'Img', 'Cam'.), and and correspond to the angular indexes of the light field images. The naming convention for the sub-aperture images must be of the form _.png, where is the common name for all images (e.g. The input light field should be in the form of a collection of PNG sub-aperture images located in a common folder. In addition to the LFBM5D filter, this code provides an implementation of light field denoising using the BM3D filter applied to every sub-aperture images (used to provide results in ).įor the super-resolution extension SR-LFBM5D, switch to the SR branch.

This code is built upon the IPOL implementation of the BM3D denoising filter released with.