208 lines
8.1 KiB
C++
208 lines
8.1 KiB
C++
/*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 described 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
|