规范类名及命名空间名称

XP.ImageProcessing.Processors/图像增强/GammaProcessor.cs

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+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件� GammaProcessor.cs
+// �述: Gamma校正算�，用于调整图�亮度和对比�
+// 功能:
+//   - Gamma�线性校�
+//   - 增益调整
+//   - 使用查找表（LUT）加速处�
+//   - 适用于图�显示和亮度调整
+// 算法: Gamma校正公� output = (input^(1/gamma)) * gain
+// 作� �伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.Structure;
+using Serilog;
+using XP.ImageProcessing.Core;
+
+namespace XP.ImageProcessing.Processors;
+
+/// <summary>
+/// Gamma校正算�
+/// </summary>
+public class GammaProcessor : ImageProcessorBase
+{
+    private byte[] _lookupTable;
+    private static readonly ILogger _logger = Log.ForContext<GammaProcessor>();
+
+    public GammaProcessor()
+    {
+        Name = LocalizationHelper.GetString("GammaProcessor_Name");
+        Description = LocalizationHelper.GetString("GammaProcessor_Description");
+        _lookupTable = new byte[256];
+    }
+
+    protected override void InitializeParameters()
+    {
+        Parameters.Add("Gamma", new ProcessorParameter(
+            "Gamma",
+            LocalizationHelper.GetString("GammaProcessor_Gamma"),
+            typeof(double),
+            1.0,
+            0.1,
+            5.0,
+            LocalizationHelper.GetString("GammaProcessor_Gamma_Desc")));
+
+        Parameters.Add("Gain", new ProcessorParameter(
+            "Gain",
+            LocalizationHelper.GetString("GammaProcessor_Gain"),
+            typeof(double),
+            1.0,
+            0.1,
+            3.0,
+            LocalizationHelper.GetString("GammaProcessor_Gain_Desc")));
+        _logger.Debug("InitializeParameters");
+    }
+
+    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
+    {
+        double gamma = GetParameter<double>("Gamma");
+        double gain = GetParameter<double>("Gain");
+
+        BuildLookupTable(gamma, gain);
+
+        var result = inputImage.Clone();
+        ApplyLookupTable(result);
+        _logger.Debug("Process:Gamma = {0}, Gain = {1}", gamma, gain);
+        return result;
+    }
+
+    private void BuildLookupTable(double gamma, double gain)
+    {
+        double invGamma = 1.0 / gamma;
+
+        for (int i = 0; i < 256; i++)
+        {
+            double normalized = i / 255.0;
+            double corrected = Math.Pow(normalized, invGamma) * gain;
+            int value = (int)(corrected * 255.0);
+
+            _lookupTable[i] = (byte)Math.Max(0, Math.Min(255, value));
+        }
+        _logger.Debug("Gamma and gain values recorded: gamma = {Gamma}, gain = {Gain}", gamma, gain);
+    }
+
+    private void ApplyLookupTable(Image<Gray, byte> image)
+    {
+        int width = image.Width;
+        int height = image.Height;
+
+        for (int y = 0; y < height; y++)
+        {
+            for (int x = 0; x < width; x++)
+            {
+                byte pixelValue = image.Data[y, x, 0];
+                image.Data[y, x, 0] = _lookupTable[pixelValue];
+            }
+        }
+    }
+}