From 7451b5e60ae4c2045fb60469f52566a33c5154e6 Mon Sep 17 00:00:00 2001
From: Bingkun Li <bkunlee@outlook.com>
Date: Tue, 3 Mar 2026 10:39:55 +0800
Subject: [PATCH] Add image enhancement without clahe

---
 .../skyeye/sar/util/SarImageToneAdjuster.java | 84 +++++++++++++++++++
 1 file changed, 84 insertions(+)

diff --git a/backend/Skyeye-sys-dev/skyeye-service-manager/src/main/java/com/zhangy/skyeye/sar/util/SarImageToneAdjuster.java b/backend/Skyeye-sys-dev/skyeye-service-manager/src/main/java/com/zhangy/skyeye/sar/util/SarImageToneAdjuster.java
index e1ff3b7..387ce8f 100644
--- a/backend/Skyeye-sys-dev/skyeye-service-manager/src/main/java/com/zhangy/skyeye/sar/util/SarImageToneAdjuster.java
+++ b/backend/Skyeye-sys-dev/skyeye-service-manager/src/main/java/com/zhangy/skyeye/sar/util/SarImageToneAdjuster.java
@@ -803,6 +803,90 @@ public class SarImageToneAdjuster {
         return sharpened;
     }
 
+    public static Mat enhanceSarIndustrialNoClahe(Mat src) {
+
+        if (src.channels() != 1)
+            throw new IllegalArgumentException("Only single channel supported");
+
+        Mat floatMat = new Mat();
+
+        // 1️⃣ 转 float
+        if (src.type() == CvType.CV_16U)
+            src.convertTo(floatMat, CvType.CV_32F, 1.0 / 65535.0);
+        else if (src.type() == CvType.CV_8U)
+            src.convertTo(floatMat, CvType.CV_32F, 1.0 / 255.0);
+        else
+            throw new IllegalArgumentException("Unsupported type");
+
+        // 2️⃣ log 压缩
+        Core.add(floatMat, Scalar.all(1e-6), floatMat);
+        Core.log(floatMat, floatMat);
+
+        // 3️⃣ 百分位裁剪
+        Mat flat = floatMat.reshape(1,1);
+        Mat sorted = flat.clone();
+        Core.sort(sorted, sorted, Core.SORT_ASCENDING);
+
+        int total = sorted.cols();
+        double low = sorted.get(0, (int)(total * 0.01))[0];
+        double high = sorted.get(0, (int)(total * 0.995))[0];
+
+        Core.min(floatMat, new Scalar(high), floatMat);
+        Core.max(floatMat, new Scalar(low), floatMat);
+
+        Core.subtract(floatMat, new Scalar(low), floatMat);
+        Core.divide(floatMat, new Scalar(high - low), floatMat);
+
+        // ==============================
+        // 4️⃣ 局部自适应对比增强（替代 CLAHE）
+        // ==============================
+
+        Mat localMean = new Mat();
+        double sigma = src.cols() / 30.0;
+        Imgproc.GaussianBlur(floatMat, localMean, new Size(0,0), sigma);
+
+        Mat localContrast = new Mat();
+        Core.divide(floatMat, localMean, localContrast);
+
+        // 压缩避免过增强
+        Core.min(localContrast, new Scalar(3.0), localContrast);
+        Core.max(localContrast, new Scalar(0.3), localContrast);
+
+        // 再归一
+        Core.normalize(localContrast, localContrast, 0, 1, Core.NORM_MINMAX);
+
+        // ==============================
+        // 5️⃣ 软 gamma 提升
+        // ==============================
+
+        Core.pow(localContrast, 0.8, localContrast);
+
+        // ==============================
+        // 6️⃣ 转 8bit
+        // ==============================
+
+        Mat img8 = new Mat();
+        localContrast.convertTo(img8, CvType.CV_8U, 255.0);
+
+        // ==============================
+        // 7️⃣ 轻 speckle 抑制
+        // ==============================
+
+        Imgproc.medianBlur(img8, img8, 3);
+
+        // ==============================
+        // 8️⃣ 轻锐化
+        // ==============================
+
+        Mat blur = new Mat();
+        Imgproc.GaussianBlur(img8, blur, new Size(0,0), 1.0);
+
+        Mat sharpened = new Mat();
+        Core.addWeighted(img8, 1.15, blur, -0.15, 0, sharpened);
+
+        return sharpened;
+    }
+
     static public double computePercentile(Mat mat, double percentile) {
 
         if (mat.empty())