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# Super Resolution

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].

## superres::SuperResolution

Base class for Super Resolution algorithms.

class `superres::``SuperResolution` : public `Algorithm`, public `superres::``FrameSource`

The class is only used to define the common interface for the whole family of Super Resolution algorithms.

## superres::SuperResolution::setInput

Set input frame source for Super Resolution algorithm.

C++:`` void `superres::SuperResolution::``setInput`(const Ptr<FrameSource>& frameSource)

  Parameters:

  - frameSource – Input frame source

## superres::SuperResolution::nextFrame

Process next frame from input and return output result.

C++:`` void `superres::SuperResolution::``nextFrame`(OutputArray frame)

  Parameters:

  - frame – Output result

## superres::SuperResolution::collectGarbage

Clear all inner buffers.

C++:`` void `superres::SuperResolution::``collectGarbage`()

## superres::createSuperResolution_BTVL1

Create Bilateral TV-L1 Super Resolution.

C++:`` Ptr<SuperResolution> `superres::``createSuperResolution_BTVL1`()

C++:`` Ptr<SuperResolution> `superres::``createSuperResolution_BTVL1_GPU`()

This class implements Super Resolution algorithm described in the papers [Farsiu03] and [Mitzel09] .

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.

[Farsiu03]

(1, 2)

19. Farsiu, D. Robinson, M. Elad, P. Milanfar. Fast and robust Super-Resolution. Proc 2003 IEEE Int Conf on Image Process, pp. 291–294, 2003.

[Mitzel09]

(1, 2)

4. Mitzel, T. Pock, T. Schoenemann, D. Cremers. Video super resolution using duality based TV-L1 optical flow. DAGM, 2009.

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