C# OpenCvSharp 利用白平衡技术进行图像修复

目录

效果

灰度世界(GrayworldWB)-白平衡算法

完美反射(SimpleWB)-白平衡算法

基于学习的(LearningBasedWB)-白平衡算法

代码

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C# OpenCvSharp 利用白平衡技术进行图像修复

OpenCV xphoto模块中提供了三种不同的白平衡算法，分别是：灰度世界(GrayworldWB)算法、完完美反射(SimpleWB)算法和基于学习的(LearningBasedWB)白平衡算法

效果

灰度世界(GrayworldWB)-白平衡算法

参考链接：https://docs.opencv.org/4.x/d7/d71/classcv_1_1xphoto_1_1GrayworldWB.html#details

完美反射(SimpleWB)-白平衡算法

参考链接：https://docs.opencv.org/4.x/d1/d8b/classcv_1_1xphoto_1_1SimpleWB.html#details

基于学习的(LearningBasedWB)-白平衡算法

参考链接：https://docs.opencv.org/4.x/dc/dcb/tutorial_xphoto_training_white_balance.html

代码

using OpenCvSharp;
using OpenCvSharp.XPhoto;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Security.Cryptography;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;

namespace C__OpenCvSharp_利用白平衡技术进行图像修复
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }

        string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
        string image_path = "";
        Mat image;
        Mat dst = new Mat();
        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = fileFilter;
            if (ofd.ShowDialog() != DialogResult.OK) return;
            pictureBox1.Image = null;
            image_path = ofd.FileName;
            pictureBox1.Image = new Bitmap(image_path);
            image = new Mat(image_path);
            pictureBox2.Image = null;
        }

        private void Form1_Load(object sender, EventArgs e)
        {
            image_path = "1.jpg";
            pictureBox1.Image = new Bitmap(image_path);
        }

        ///


        /// 灰度世界(GrayworldWB)-白平衡算法
        /// https://docs.opencv.org/4.x/d7/d71/classcv_1_1xphoto_1_1GrayworldWB.html#details
        ///
        ///
        ///
        private void button2_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            pictureBox2.Image = null;

            image = new Mat(image_path);
            WhiteBalancer wb = CvXPhoto.CreateGrayworldWB();
            wb.BalanceWhite(image, dst);
            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
        }

        ///


        /// 完美反射(SimpleWB)-白平衡算法
        /// https://docs.opencv.org/4.x/d1/d8b/classcv_1_1xphoto_1_1SimpleWB.html#details
        ///
        ///
        ///
        private void button3_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            pictureBox2.Image = null;

            image = new Mat(image_path);
            WhiteBalancer wb = CvXPhoto.CreateSimpleWB();
            wb.BalanceWhite(image, dst);
            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
        }

        ///


        /// 基于学习的(LearningBasedWB)-白平衡算法
        /// https://docs.opencv.org/4.x/dc/dcb/tutorial_xphoto_training_white_balance.html
        ///
        ///
        ///
        private void button4_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            pictureBox2.Image = null;

            image = new Mat(image_path);
            string model = "";//模型路径
            WhiteBalancer wb = CvXPhoto.CreateLearningBasedWB(model);
            wb.BalanceWhite(image, dst);
            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
        }
    }
}

  1. using OpenCvSharp;
  2. using OpenCvSharp.XPhoto;
  3. using System;
  4. using System.Collections.Generic;
  5. using System.ComponentModel;
  6. using System.Data;
  7. using System.Drawing;
  8. using System.Linq;
  9. using System.Security.Cryptography;
  10. using System.Text;
  11. using System.Threading.Tasks;
  12. using System.Windows.Forms;
  13.  
  14. namespace C__OpenCvSharp_利用白平衡技术进行图像修复
  15. {
  16.     public partial class Form1 : Form
  17.     {
  18.         public Form1()
  19.         {
  20.             InitializeComponent();
  21.         }
  22.  
  23.         string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
  24.         string image_path = "";
  25.         Mat image;
  26.         Mat dst = new Mat();
  27.         private void button1_Click(object sender, EventArgs e)
  28.         {
  29.             OpenFileDialog ofd = new OpenFileDialog();
  30.             ofd.Filter = fileFilter;
  31.             if (ofd.ShowDialog() != DialogResult.OK) return;
  32.             pictureBox1.Image = null;
  33.             image_path = ofd.FileName;
  34.             pictureBox1.Image = new Bitmap(image_path);
  35.             image = new Mat(image_path);
  36.             pictureBox2.Image = null;
  37.         }
  38.  
  39.         private void Form1_Load(object sender, EventArgs e)
  40.         {
  41.             image_path = "1.jpg";
  42.             pictureBox1.Image = new Bitmap(image_path);
  43.         }
  44.  
  45.         /// <summary>
  46.         /// 灰度世界(GrayworldWB)-白平衡算法
  47.         /// https://docs.opencv.org/4.x/d7/d71/classcv_1_1xphoto_1_1GrayworldWB.html#details
  48.         /// </summary>
  49.         /// <param name="sender"></param>
  50.         /// <param name="e"></param>
  51.         private void button2_Click(object sender, EventArgs e)
  52.         {
  53.             if (image_path == "")
  54.             {
  55.                 return;
  56.             }
  57.             pictureBox2.Image = null;
  58.  
  59.             image = new Mat(image_path);
  60.             WhiteBalancer wb = CvXPhoto.CreateGrayworldWB();
  61.             wb.BalanceWhite(image, dst);
  62.             pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
  63.         }
  64.  
  65.         /// <summary>
  66.         /// 完美反射(SimpleWB)-白平衡算法
  67.         /// https://docs.opencv.org/4.x/d1/d8b/classcv_1_1xphoto_1_1SimpleWB.html#details
  68.         /// </summary>
  69.         /// <param name="sender"></param>
  70.         /// <param name="e"></param>
  71.         private void button3_Click(object sender, EventArgs e)
  72.         {
  73.             if (image_path == "")
  74.             {
  75.                 return;
  76.             }
  77.             pictureBox2.Image = null;
  78.  
  79.             image = new Mat(image_path);
  80.             WhiteBalancer wb = CvXPhoto.CreateSimpleWB();
  81.             wb.BalanceWhite(image, dst);
  82.             pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
  83.         }
  84.  
  85.         /// <summary>
  86.         /// 基于学习的(LearningBasedWB)-白平衡算法
  87.         /// https://docs.opencv.org/4.x/dc/dcb/tutorial_xphoto_training_white_balance.html
  88.         /// </summary>
  89.         /// <param name="sender"></param>
  90.         /// <param name="e"></param>
  91.         private void button4_Click(object sender, EventArgs e)
  92.         {
  93.             if (image_path == "")
  94.             {
  95.                 return;
  96.             }
  97.             pictureBox2.Image = null;
  98.  
  99.             image = new Mat(image_path);
  100.             string model = "";//模型路径
  101.             WhiteBalancer wb = CvXPhoto.CreateLearningBasedWB(model);
  102.             wb.BalanceWhite(image, dst);
  103.             pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
  104.         }
  105.     }
  106. }

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