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Open Source Computer Vision Library
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85 lines
2.7 KiB
85 lines
2.7 KiB
12 years ago
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Super Resolution
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================
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.. highlight:: cpp
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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 [Farsiu03]_ and [Mitzel09]_.
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superres::SuperResolution
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-------------------------
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Base class for Super Resolution algorithms.
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.. ocv:class:: superres::SuperResolution : public Algorithm, public superres::FrameSource
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The class is only used to define the common interface for the whole family of Super Resolution algorithms.
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superres::SuperResolution::setInput
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-----------------------------------
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Set input frame source for Super Resolution algorithm.
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.. ocv:function:: void superres::SuperResolution::setInput(const Ptr<FrameSource>& frameSource)
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:param frameSource: Input frame source
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superres::SuperResolution::nextFrame
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------------------------------------
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Process next frame from input and return output result.
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.. ocv:function:: void superres::SuperResolution::nextFrame(OutputArray frame)
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:param frame: Output result
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superres::SuperResolution::collectGarbage
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-----------------------------------------
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Clear all inner buffers.
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.. ocv:function:: void superres::SuperResolution::collectGarbage()
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superres::createSuperResolution_BTVL1
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-------------------------------------
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Create Bilateral TV-L1 Super Resolution.
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.. ocv:function:: Ptr<SuperResolution> superres::createSuperResolution_BTVL1()
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.. ocv:function:: Ptr<SuperResolution> superres::createSuperResolution_BTVL1_GPU()
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This class implements Super Resolution algorithm described in the papers [Farsiu03]_ and [Mitzel09]_ .
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Here are important members of the class that control the algorithm, which you can set after constructing the class instance:
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* **int scale** Scale factor.
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* **int iterations** Iteration count.
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* **double tau** Asymptotic value of steepest descent method.
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* **double lambda** Weight parameter to balance data term and smoothness term.
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* **double alpha** Parameter of spacial distribution in Bilateral-TV.
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* **int btvKernelSize** Kernel size of Bilateral-TV filter.
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* **int blurKernelSize** Gaussian blur kernel size.
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* **double blurSigma** Gaussian blur sigma.
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* **int temporalAreaRadius** Radius of the temporal search area.
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* **Ptr<DenseOpticalFlowExt> opticalFlow** Dense optical flow algorithm.
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.. [Farsiu03] S. Farsiu, D. Robinson, M. Elad, P. Milanfar. Fast and robust Super-Resolution. Proc 2003 IEEE Int Conf on Image Process, pp. 291–294, 2003.
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.. [Mitzel09] D. Mitzel, T. Pock, T. Schoenemann, D. Cremers. Video super resolution using duality based TV-L1 optical flow. DAGM, 2009.
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