The Super Resolution module contains a set of functions and classes that can be used to solve the problem of resolution enhancement. There are a few methods implemented, most of them are descibed in the papers [45] and [109] .
| Ptr<FrameSource> cv::superres::createFrameSource_Camera |
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| Ptr<FrameSource> cv::superres::createFrameSource_Empty |
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| Ptr<FrameSource> cv::superres::createFrameSource_Video |
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const String & |
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| Ptr<FrameSource> cv::superres::createFrameSource_Video_CUDA |
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const String & |
fileName | ) |
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| Ptr<BroxOpticalFlow> cv::superres::createOptFlow_Brox_CUDA |
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| Ptr<DualTVL1OpticalFlow> cv::superres::createOptFlow_DualTVL1 |
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| Ptr<DualTVL1OpticalFlow> cv::superres::createOptFlow_DualTVL1_CUDA |
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| Ptr<FarnebackOpticalFlow> cv::superres::createOptFlow_Farneback |
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| Ptr<FarnebackOpticalFlow> cv::superres::createOptFlow_Farneback_CUDA |
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| Ptr<PyrLKOpticalFlow> cv::superres::createOptFlow_PyrLK_CUDA |
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| Ptr<SuperResolution> cv::superres::createSuperResolution_BTVL1 |
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Create Bilateral TV-L1 Super Resolution.
This class implements Super Resolution algorithm described in the papers [45] and [109] .
Here are important members of the class that control the algorithm, which you can set after constructing the class instance:
- int scale Scale factor.
- int iterations Iteration count.
- double tau Asymptotic value of steepest descent method.
- double lambda Weight parameter to balance data term and smoothness term.
- double alpha Parameter of spacial distribution in Bilateral-TV.
- int btvKernelSize Kernel size of Bilateral-TV filter.
- int blurKernelSize Gaussian blur kernel size.
- double blurSigma Gaussian blur sigma.
- int temporalAreaRadius Radius of the temporal search area.
- Ptr<DenseOpticalFlowExt> opticalFlow Dense optical flow algorithm.
| Ptr<SuperResolution> cv::superres::createSuperResolution_BTVL1_CUDA |
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1.8.11
