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Home Dehazer C++ lib. Fast video dehaze/defog algorithm
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Dehazer C++ lib. Fast video dehaze/defog algorithm

€600.00

Dehazer C++ library version 2.0.3 implements video dehazing algorithm based on histogram manipulations. The library utilizes different histogram manipulations to improve the contrast of the video frame and to reduce the effect of haze.

LICENSE: We sell source code of this library as is, without future updates and technical support according to perpetual non-exclusive royalty-free license. You pay once and can use this library in your software and hardware products without limits. Please read the license agreement before purchasing: LICENSE. You can buy technical support service for this product.

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Dehazer C++ library version 2.0.3 implements video dehazing algorithm based on histogram manipulations. The library utilizes different histogram manipulations to improve the contrast of the video frame and to reduce the effect of haze.

LICENSE: We sell source code of this library as is, without future updates and technical support according to perpetual non-exclusive royalty-free license. You pay once and can use this library in your software and hardware products without limits. Please read the license agreement before purchasing: LICENSE. You can buy technical support service for this product.

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Dehazer C++ library version 2.0.3 implements video dehazing algorithm based on histogram manipulations. The library utilizes different histogram manipulations to improve the contrast of the video frame and to reduce the effect of haze.

LICENSE: We sell source code of this library as is, without future updates and technical support according to perpetual non-exclusive royalty-free license. You pay once and can use this library in your software and hardware products without limits. Please read the license agreement before purchasing: LICENSE. You can buy technical support service for this product.

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You can buy the software by bank transfer. Bank transfer available only for companies. To buy software by bank transfer please send us request to info@constantrobotics.com. Also, you can buy technical support service for this product.

Downloads

Programmer’s manual: DOWNLOAD

Demo application to test algorithm on your video: DOWNLOAD

Overview

Dehazer C++ library implements video defog / dehaze algorithm based on histogram manipulations. The library utilizes different histogram manipulations to improve the contrast of the video frame and to reduce the effect of haze. The library is implemented in C++ (C++17 standard) and exclusively relies on OpenCV library (version 4.5.0 and higher). This library is suitable for various types of camera (daylight, SWIR, MWIR and LWIR) and it provides simple programming interface. Each instance of the Dehazer C++ class object performs frame-by-frame processing of a video data stream, processing each video frame independently. The library depends on open source VFilter library (provides interface as well as defines data structures for various video filters implementation, source code included, Apache 2.0 license) and OpenCV library (version >=4.5.0, linked, Apache 2.0 license). Additionally demo application depends on open source SimpleFileDialog (provides dialog to open files, source code included, Apache 2.0 license).

Performance

The library uses only one CPU core for processing. Processing time per fame for different CPU platforms (processing time / frame):

  • Intel(TM) i7-13700H : 4096x2160 - 8.5 msec, 1920x1080 - 2.5 msec, 1280x720 - 0.9 msec, 640x360 - 0.27 msec.
  • Raspberry Pi 5 : 4096x2160 - 23.1 msec, 1920x1080 - 4.9 msec, 1280x720 - 1.9 msec, 640x360 - 0.55 msec.
  • Raspberry Pi 4B : 4096x2160 - 44.1 msec, 1920x1080 - 10.1 msec, 1280x720 - 4.5 msec, 640x360 - 0.9 msec.

VFilter compatible interface

namespace cr
{
namespace video
{
class Dehazer : public VFilter
{
public:

    /// Class constructor.
    Dehazer();

    /// Class destructor.
    ~Dehazer();

    /// Get string of current library version.
    static std::string getVersion();

    /// Initialize video filter.
    bool initVFilter(VFilterParams& params) override;

    /// Set parameter.
    bool setParam(VFilterParam id, float value) override;

    /// Get parameter value.
    float getParam(VFilterParam id) override;

    /// Get all library parameters.
    void getParams(VFilterParams& params) override;

    /// Execute action command.
    bool executeCommand(VFilterCommand id) override;

    /// Process frame.
    bool processFrame(Frame& frame) override;

    /// Set mask for the filter.
    bool setMask(cr::video::Frame mask) override;

    /// Decode and execute command.
    bool decodeAndExecuteCommand(uint8_t* data, int size) override;
};
}
}

Simple example

#include <iostream>
#include <opencv2/opencv.hpp>
#include "Dehazer.h"

int main(void)
{
    // Open video source.
    cv::VideoCapture source;
    if (!source.open("test.mp4"))
        return -1;

    // Init dehazer and set initial params.
    cr::video::Dehazer dehazer;
    dehazer.setParam(cr::video::VFilterParam::TYPE, 1);
    dehazer.setParam(cr::video::VFilterParam::LEVEL, 30);

    // Get frame size.
    int width = (int)source.get(cv::CAP_PROP_FRAME_WIDTH);
    int height = (int)source.get(cv::CAP_PROP_FRAME_HEIGHT);

    // Init frames.
    cv::Mat openCvBgrImg(height, width, CV_8UC3);
    cr::video::Frame frame(width, height, cr::video::Fourcc::YUV24);

    // Main loop.
    while (true)
    {
        // Capture next video frame.
        source >> openCvBgrImg;
        if (openCvBgrImg.empty())
            return 0;

        // Convert BGR to YUV.
        cv::Mat yuvImg(frame.height, frame.width, CV_8UC3, frame.data);
        cvtColor(openCvBgrImg, yuvImg, cv::COLOR_BGR2YUV);

        // Dehaze.
        dehazer.processFrame(frame);

        // Convert YUV to BGR.
        cvtColor(yuvImg, openCvBgrImg, cv::COLOR_YUV2BGR);

        // Show results.
        imshow("Result", openCvBgrImg);
        if (cv::waitKey(1) == 27)
            return 0;
    }
    return 1;
}

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ABOUT US

ConstantRobotics conducts scientific research in video processing, control protocols, and data exchange. Our diverse team of engineers develops software libraries and applications to simplify complex problems. Customers can test our libraries on their own data before making a purchase. Detailed documentation is available on our website. Our main focus is creating real-time algorithms that run on any platform.

CONTACTS

ConstantRobotics Sp. z o.o. Warsaw, Poland, VAT ID: PL5252930273, info@constantrobotics.com

LICENSES FOR SOFTWARE

Our software libraries are distributed under perpetual licenses. We don't restrict distribution of software libraries as a part of your hardware and software products. Our library prices are the same for all our clients and are based on the following principle: you can create a counterpart of our algorithms with the same or better characteristics, but the cost of your own research will be significantly higher than buying ready-made libraries. By purchasing our libraries you get a solution with proven performance. Two licenses are available for our products: a perpetual license for the compiled version of the library and a perpetual license for the source code. You pay once at the time of purchase. Download licenses:

  • LICENSE FOR SOURCE CODE OF SOFTWARE

  • LICENSE FOR COMPILED VERSION OF SOFTWARE

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