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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef OPENCV_SUPERRES_HPP
#define OPENCV_SUPERRES_HPP
#include "opencv2/core.hpp"
#include "opencv2/superres/optical_flow.hpp"
/**
@defgroup superres 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 @cite Farsiu03 and @cite Mitzel09 .
*/
namespace cv
{
namespace superres
{
//! @addtogroup superres
//! @{
class CV_EXPORTS FrameSource
{
public:
virtual ~FrameSource();
virtual void nextFrame(OutputArray frame) = 0;
virtual void reset() = 0;
};
CV_EXPORTS Ptr<FrameSource> createFrameSource_Empty();
CV_EXPORTS Ptr<FrameSource> createFrameSource_Video(const String& fileName);
CV_EXPORTS Ptr<FrameSource> createFrameSource_Video_CUDA(const String& fileName);
CV_EXPORTS Ptr<FrameSource> createFrameSource_Camera(int deviceId = 0);
/** @brief Base class for Super Resolution algorithms.
The class is only used to define the common interface for the whole family of Super Resolution
algorithms.
*/
class CV_EXPORTS SuperResolution : public cv::Algorithm, public FrameSource
{
public:
/** @brief Set input frame source for Super Resolution algorithm.
@param frameSource Input frame source
*/
void setInput(const Ptr<FrameSource>& frameSource);
/** @brief Process next frame from input and return output result.
@param frame Output result
*/
void nextFrame(OutputArray frame);
void reset();
/** @brief Clear all inner buffers.
*/
virtual void collectGarbage();
//! @brief Scale factor
/** @see setScale */
virtual int getScale() const = 0;
/** @copybrief getScale @see getScale */
virtual void setScale(int val) = 0;
//! @brief Iterations count
/** @see setIterations */
virtual int getIterations() const = 0;
/** @copybrief getIterations @see getIterations */
virtual void setIterations(int val) = 0;
//! @brief Asymptotic value of steepest descent method
/** @see setTau */
virtual double getTau() const = 0;
/** @copybrief getTau @see getTau */
virtual void setTau(double val) = 0;
//! @brief Weight parameter to balance data term and smoothness term
/** @see setLabmda */
virtual double getLabmda() const = 0;
/** @copybrief getLabmda @see getLabmda */
virtual void setLabmda(double val) = 0;
//! @brief Parameter of spacial distribution in Bilateral-TV
/** @see setAlpha */
virtual double getAlpha() const = 0;
/** @copybrief getAlpha @see getAlpha */
virtual void setAlpha(double val) = 0;
//! @brief Kernel size of Bilateral-TV filter
/** @see setKernelSize */
virtual int getKernelSize() const = 0;
/** @copybrief getKernelSize @see getKernelSize */
virtual void setKernelSize(int val) = 0;
//! @brief Gaussian blur kernel size
/** @see setBlurKernelSize */
virtual int getBlurKernelSize() const = 0;
/** @copybrief getBlurKernelSize @see getBlurKernelSize */
virtual void setBlurKernelSize(int val) = 0;
//! @brief Gaussian blur sigma
/** @see setBlurSigma */
virtual double getBlurSigma() const = 0;
/** @copybrief getBlurSigma @see getBlurSigma */
virtual void setBlurSigma(double val) = 0;
//! @brief Radius of the temporal search area
/** @see setTemporalAreaRadius */
virtual int getTemporalAreaRadius() const = 0;
/** @copybrief getTemporalAreaRadius @see getTemporalAreaRadius */
virtual void setTemporalAreaRadius(int val) = 0;
//! @brief Dense optical flow algorithm
/** @see setOpticalFlow */
virtual Ptr<cv::superres::DenseOpticalFlowExt> getOpticalFlow() const = 0;
/** @copybrief getOpticalFlow @see getOpticalFlow */
virtual void setOpticalFlow(const Ptr<cv::superres::DenseOpticalFlowExt> &val) = 0;
protected:
SuperResolution();
virtual void initImpl(Ptr<FrameSource>& frameSource) = 0;
virtual void processImpl(Ptr<FrameSource>& frameSource, OutputArray output) = 0;
bool isUmat_;
private:
Ptr<FrameSource> frameSource_;
bool firstCall_;
};
/** @brief Create Bilateral TV-L1 Super Resolution.
This class implements Super Resolution algorithm described in the papers @cite Farsiu03 and
@cite 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.
*/
CV_EXPORTS Ptr<SuperResolution> createSuperResolution_BTVL1();
CV_EXPORTS Ptr<SuperResolution> createSuperResolution_BTVL1_CUDA();
//! @} superres
}
}
#endif // OPENCV_SUPERRES_HPP
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