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)
  1. 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)
  1. Mitzel, T. Pock, T. Schoenemann, D. Cremers. Video super resolution using duality based TV-L1 optical flow. DAGM, 2009.