效果
灰度世界(GrayworldWB)-白平衡算法

完美反射(SimpleWB)-白平衡算法

说明
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。

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
项目

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);
        }
 
        /// <summary>
        /// 堆代码 duidaima.com
        /// 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
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        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());
        }
 
        /// <summary>
        /// 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
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        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());
        }
 
        /// <summary>
        /// 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
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        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());
        }
    }
}