diff --git a/package-lock.json b/package-lock.json
index 43009ba..668f853 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -12,7 +12,18 @@
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         "puppeteer-core": "^24.39.1",
         "puppeteer-extra": "^3.3.6",
-        "puppeteer-extra-plugin-stealth": "^2.11.2"
+        "puppeteer-extra-plugin-stealth": "^2.11.2",
+        "sharp": "^0.34.5"
+      }
+    },
+    "node_modules/@emnapi/runtime": {
+      "version": "1.9.1",
+      "resolved": "https://mirrors.cloud.tencent.com/npm/@emnapi/runtime/-/runtime-1.9.1.tgz",
+      "integrity": "sha512-VYi5+ZVLhpgK4hQ0TAjiQiZ6ol0oe4mBx7mVv7IflsiEp0OWoVsp/+f9Vc1hOhE0TtkORVrI1GvzyreqpgWtkA==",
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "tslib": "^2.4.0"
       }
     },
     "node_modules/@hono/node-server": {
@@ -27,6 +38,471 @@
         "hono": "^4"
       }
     },
+    "node_modules/@img/colour": {
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+      "resolved": "https://mirrors.cloud.tencent.com/npm/@img/colour/-/colour-1.1.0.tgz",
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+      }
+    },
     "node_modules/@modelcontextprotocol/sdk": {
       "version": "1.27.1",
       "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.27.1.tgz",
@@ -622,6 +1098,15 @@
         "node": ">= 0.8"
       }
     },
+    "node_modules/detect-libc": {
+      "version": "2.1.2",
+      "resolved": "https://mirrors.cloud.tencent.com/npm/detect-libc/-/detect-libc-2.1.2.tgz",
+      "integrity": "sha512-Btj2BOOO83o3WyH59e8MgXsxEQVcarkUOpEYrubB0urwnN10yQ364rsiByU11nZlqWYZm05i/of7io4mzihBtQ==",
+      "license": "Apache-2.0",
+      "engines": {
+        "node": ">=8"
+      }
+    },
     "node_modules/devtools-protocol": {
       "version": "0.0.1581282",
       "resolved": "https://mirrors.cloud.tencent.com/npm/devtools-protocol/-/devtools-protocol-0.0.1581282.tgz",
@@ -2043,6 +2528,50 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/sharp": {
+      "version": "0.34.5",
+      "resolved": "https://mirrors.cloud.tencent.com/npm/sharp/-/sharp-0.34.5.tgz",
+      "integrity": "sha512-Ou9I5Ft9WNcCbXrU9cMgPBcCK8LiwLqcbywW3t4oDV37n1pzpuNLsYiAV8eODnjbtQlSDwZ2cUEeQz4E54Hltg==",
+      "hasInstallScript": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@img/colour": "^1.0.0",
+        "detect-libc": "^2.1.2",
+        "semver": "^7.7.3"
+      },
+      "engines": {
+        "node": "^18.17.0 || ^20.3.0 || >=21.0.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      },
+      "optionalDependencies": {
+        "@img/sharp-darwin-arm64": "0.34.5",
+        "@img/sharp-darwin-x64": "0.34.5",
+        "@img/sharp-libvips-darwin-arm64": "1.2.4",
+        "@img/sharp-libvips-darwin-x64": "1.2.4",
+        "@img/sharp-libvips-linux-arm": "1.2.4",
+        "@img/sharp-libvips-linux-arm64": "1.2.4",
+        "@img/sharp-libvips-linux-ppc64": "1.2.4",
+        "@img/sharp-libvips-linux-riscv64": "1.2.4",
+        "@img/sharp-libvips-linux-s390x": "1.2.4",
+        "@img/sharp-libvips-linux-x64": "1.2.4",
+        "@img/sharp-libvips-linuxmusl-arm64": "1.2.4",
+        "@img/sharp-libvips-linuxmusl-x64": "1.2.4",
+        "@img/sharp-linux-arm": "0.34.5",
+        "@img/sharp-linux-arm64": "0.34.5",
+        "@img/sharp-linux-ppc64": "0.34.5",
+        "@img/sharp-linux-riscv64": "0.34.5",
+        "@img/sharp-linux-s390x": "0.34.5",
+        "@img/sharp-linux-x64": "0.34.5",
+        "@img/sharp-linuxmusl-arm64": "0.34.5",
+        "@img/sharp-linuxmusl-x64": "0.34.5",
+        "@img/sharp-wasm32": "0.34.5",
+        "@img/sharp-win32-arm64": "0.34.5",
+        "@img/sharp-win32-ia32": "0.34.5",
+        "@img/sharp-win32-x64": "0.34.5"
+      }
+    },
     "node_modules/shebang-command": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
diff --git a/package.json b/package.json
index 2d69362..3eb13da 100644
--- a/package.json
+++ b/package.json
@@ -21,6 +21,7 @@
     "@modelcontextprotocol/sdk": "^1.27.1",
     "puppeteer-core": "^24.39.1",
     "puppeteer-extra": "^3.3.6",
-    "puppeteer-extra-plugin-stealth": "^2.11.2"
+    "puppeteer-extra-plugin-stealth": "^2.11.2",
+    "sharp": "^0.34.5"
   }
 }
diff --git a/src/assets/bg_48.png b/src/assets/bg_48.png
new file mode 100644
index 0000000..ed11f16
Binary files /dev/null and b/src/assets/bg_48.png differ
diff --git a/src/assets/bg_96.png b/src/assets/bg_96.png
new file mode 100644
index 0000000..6a73b58
Binary files /dev/null and b/src/assets/bg_96.png differ
diff --git a/src/gemini-ops.js b/src/gemini-ops.js
index a3633a8..2354553 100644
--- a/src/gemini-ops.js
+++ b/src/gemini-ops.js
@@ -9,6 +9,7 @@ import { createOperator } from './operator.js';
 import { sleep } from './util.js';
 import config from './config.js';
 import { mkdirSync } from 'node:fs';
+import { removeWatermarkFromFile, removeWatermarkFromDataUrl } from './watermark-remover.js';
 
 // ── Gemini 页面元素选择器 ──
 const SELECTORS = {
@@ -658,6 +659,18 @@ export function createOps(page) {
         const dataUrl = `data:${mime};base64,${base64Full}`;
 
         console.log(`[extractImageBase64] ✅ CDP 提取成功 (mime=${mime}, size=${(base64Full.length * 0.75 / 1024).toFixed(1)}KB)`);
+
+        // 去水印处理
+        const wmResult = await removeWatermarkFromDataUrl(dataUrl);
+        if (wmResult.ok && !wmResult.skipped) {
+          console.log(`[extractImageBase64] 🍌 水印已移除 (${wmResult.width}×${wmResult.height}, logo=${wmResult.logoSize}px)`);
+          return { ok: true, dataUrl: wmResult.dataUrl, method: 'cdp' };
+        } else if (wmResult.skipped) {
+          console.log(`[extractImageBase64] 跳过去水印: ${wmResult.reason}`);
+        } else {
+          console.warn(`[extractImageBase64] 去水印失败（不影响提取结果）: ${wmResult.error}`);
+        }
+
         return { ok: true, dataUrl, method: 'cdp' };
       } catch (err) {
         const errMsg = err.message || String(err);
@@ -833,6 +846,16 @@ export function createOps(page) {
           }
         }
 
+        // 去水印处理
+        const wmResult = await removeWatermarkFromFile(filePath);
+        if (wmResult.ok && !wmResult.skipped) {
+          console.log(`[ops] 水印已移除 (${wmResult.width}×${wmResult.height}, logo=${wmResult.logoSize}px)`);
+        } else if (wmResult.skipped) {
+          console.log(`[ops] 跳过去水印: ${wmResult.reason}`);
+        } else {
+          console.warn(`[ops] 去水印失败（不影响下载结果）: ${wmResult.error}`);
+        }
+
         return {
           ok: true,
           filePath,
diff --git a/src/watermark-remover.js b/src/watermark-remover.js
new file mode 100644
index 0000000..10eed68
--- /dev/null
+++ b/src/watermark-remover.js
@@ -0,0 +1,287 @@
+/**
+ * watermark-remover.js — Gemini 图片水印移除
+ *
+ * 基于反向 Alpha 混合算法，精确还原被 Gemini 添加水印的图片。
+ *
+ * 算法移植自 gemini-watermark-remover（by journey-ad / Jad）
+ * 原始仓库：https://github.com/journey-ad/gemini-watermark-remover
+ * 许可证：MIT - Copyright (c) 2025 Jad
+ *
+ * 原理：
+ *   Gemini 水印叠加公式: watermarked = α × 255 + (1 - α) × original
+ *   反向求解:            original = (watermarked - α × 255) / (1 - α)
+ */
+import sharp from 'sharp';
+import { readFileSync } from 'node:fs';
+import { join, dirname } from 'node:path';
+import { fileURLToPath } from 'node:url';
+
+const __dirname = dirname(fileURLToPath(import.meta.url));
+
+// ── 常量 ──
+const ALPHA_THRESHOLD = 0.002; // 忽略极小的 alpha 值（噪声）
+const MAX_ALPHA = 0.99;        // 避免除以接近零的值
+const LOGO_VALUE = 255;        // 白色水印的颜色值
+
+// ── Alpha Map 缓存 ──
+const alphaMapCache = {};
+
+/**
+ * 从水印背景捕获图中计算 Alpha Map
+ * @param {Buffer} pngBuffer - 水印背景捕获图的 PNG 数据
+ * @param {number} size - 水印尺寸（48 或 96）
+ * @returns {Promise<Float32Array>} alpha 值数组（0.0 ~ 1.0）
+ */
+async function calculateAlphaMap(pngBuffer, size) {
+  const { data, info } = await sharp(pngBuffer)
+    .resize(size, size)
+    .raw()
+    .ensureAlpha()
+    .toBuffer({ resolveWithObject: true });
+
+  const pixelCount = info.width * info.height;
+  const alphaMap = new Float32Array(pixelCount);
+  const channels = info.channels; // 4 (RGBA)
+
+  for (let i = 0; i < pixelCount; i++) {
+    const idx = i * channels;
+    const r = data[idx];
+    const g = data[idx + 1];
+    const b = data[idx + 2];
+    // 取 RGB 三通道最大值归一化
+    alphaMap[i] = Math.max(r, g, b) / 255.0;
+  }
+
+  return alphaMap;
+}
+
+/**
+ * 获取指定尺寸的 Alpha Map（带缓存）
+ * @param {number} size - 48 或 96
+ * @returns {Promise<Float32Array>}
+ */
+async function getAlphaMap(size) {
+  if (alphaMapCache[size]) return alphaMapCache[size];
+
+  const bgFile = size === 48 ? 'bg_48.png' : 'bg_96.png';
+  const bgPath = join(__dirname, 'assets', bgFile);
+  const bgBuffer = readFileSync(bgPath);
+
+  const alphaMap = await calculateAlphaMap(bgBuffer, size);
+  alphaMapCache[size] = alphaMap;
+  return alphaMap;
+}
+
+/**
+ * 根据图片尺寸检测水印配置
+ * @param {number} width - 图片宽度
+ * @param {number} height - 图片高度
+ * @returns {{ logoSize: number, marginRight: number, marginBottom: number }}
+ */
+function detectWatermarkConfig(width, height) {
+  // Gemini 规则：宽高都 > 1024 用 96×96，否则用 48×48
+  if (width > 1024 && height > 1024) {
+    return { logoSize: 96, marginRight: 64, marginBottom: 64 };
+  }
+  return { logoSize: 48, marginRight: 32, marginBottom: 32 };
+}
+
+/**
+ * 计算水印在图片中的位置（固定右下角）
+ * @param {number} imgWidth
+ * @param {number} imgHeight
+ * @param {{ logoSize: number, marginRight: number, marginBottom: number }} config
+ * @returns {{ x: number, y: number, width: number, height: number }}
+ */
+function calculateWatermarkPosition(imgWidth, imgHeight, config) {
+  const { logoSize, marginRight, marginBottom } = config;
+  return {
+    x: imgWidth - marginRight - logoSize,
+    y: imgHeight - marginBottom - logoSize,
+    width: logoSize,
+    height: logoSize,
+  };
+}
+
+/**
+ * 对原始像素数据执行反向 Alpha 混合，移除水印
+ *
+ * @param {Buffer} pixels - RGBA 原始像素 Buffer（会被原地修改）
+ * @param {number} imgWidth - 图片宽度
+ * @param {Float32Array} alphaMap - Alpha 通道数据
+ * @param {{ x: number, y: number, width: number, height: number }} position - 水印位置
+ */
+function removeWatermarkPixels(pixels, imgWidth, alphaMap, position) {
+  const { x, y, width, height } = position;
+
+  for (let row = 0; row < height; row++) {
+    for (let col = 0; col < width; col++) {
+      const imgIdx = ((y + row) * imgWidth + (x + col)) * 4;
+      const alphaIdx = row * width + col;
+
+      let alpha = alphaMap[alphaIdx];
+
+      // 跳过噪声
+      if (alpha < ALPHA_THRESHOLD) continue;
+
+      // 限制 alpha 避免除零
+      alpha = Math.min(alpha, MAX_ALPHA);
+      const oneMinusAlpha = 1.0 - alpha;
+
+      // 对 R / G / B 三通道分别反向混合
+      for (let c = 0; c < 3; c++) {
+        const watermarked = pixels[imgIdx + c];
+        const original = (watermarked - alpha * LOGO_VALUE) / oneMinusAlpha;
+        pixels[imgIdx + c] = Math.max(0, Math.min(255, Math.round(original)));
+      }
+      // Alpha 通道不动
+    }
+  }
+}
+
+/**
+ * 移除图片文件中的 Gemini 水印并覆盖保存
+ *
+ * @param {string} filePath - 图片文件路径（会被原地覆盖）
+ * @returns {Promise<{ ok: boolean, width?: number, height?: number, logoSize?: number, error?: string }>}
+ */
+export async function removeWatermarkFromFile(filePath) {
+  try {
+    console.log(`[watermark-remover] 开始处理: ${filePath}`);
+
+    // 1. 读取图片原始像素
+    const image = sharp(filePath);
+    const metadata = await image.metadata();
+    const { width, height } = metadata;
+
+    if (!width || !height) {
+      return { ok: false, error: 'invalid_image_metadata' };
+    }
+
+    // 2. 检测水印配置
+    const config = detectWatermarkConfig(width, height);
+    const position = calculateWatermarkPosition(width, height, config);
+
+    // 校验水印位置合法性
+    if (position.x < 0 || position.y < 0) {
+      console.log(`[watermark-remover] 图片太小（${width}×${height}），跳过去水印`);
+      return { ok: true, width, height, skipped: true, reason: 'image_too_small' };
+    }
+
+    // 3. 获取 Alpha Map
+    const alphaMap = await getAlphaMap(config.logoSize);
+
+    // 4. 提取原始像素、执行反向混合
+    const { data: pixels, info } = await sharp(filePath)
+      .raw()
+      .ensureAlpha()
+      .toBuffer({ resolveWithObject: true });
+
+    removeWatermarkPixels(pixels, info.width, alphaMap, position);
+
+    // 5. 写回文件（保持原格式）
+    const ext = (filePath.match(/\.(\w+)$/)?.[1] || 'png').toLowerCase();
+    let outputPipeline = sharp(pixels, {
+      raw: { width: info.width, height: info.height, channels: info.channels },
+    });
+
+    switch (ext) {
+      case 'jpg':
+      case 'jpeg':
+        outputPipeline = outputPipeline.jpeg({ quality: 95 });
+        break;
+      case 'webp':
+        outputPipeline = outputPipeline.webp({ quality: 95 });
+        break;
+      default:
+        outputPipeline = outputPipeline.png();
+        break;
+    }
+
+    await outputPipeline.toFile(filePath);
+
+    console.log(`[watermark-remover] ✅ 去水印完成: ${width}×${height}, logo=${config.logoSize}px`);
+    return { ok: true, width, height, logoSize: config.logoSize };
+  } catch (err) {
+    console.error(`[watermark-remover] ❌ 去水印失败: ${err.message}`);
+    return { ok: false, error: err.message };
+  }
+}
+
+/**
+ * 移除 base64 图片数据中的 Gemini 水印
+ *
+ * @param {string} dataUrl - data:image/xxx;base64,... 格式的图片
+ * @returns {Promise<{ ok: boolean, dataUrl?: string, width?: number, height?: number, logoSize?: number, error?: string }>}
+ */
+export async function removeWatermarkFromDataUrl(dataUrl) {
+  try {
+    console.log('[watermark-remover] 开始处理 base64 图片');
+
+    // 1. 解析 dataUrl
+    const mimeMatch = dataUrl.match(/^data:(image\/\w+);base64,/);
+    if (!mimeMatch) {
+      return { ok: false, error: 'invalid_data_url' };
+    }
+    const mime = mimeMatch[1];
+    const base64Data = dataUrl.slice(mimeMatch[0].length);
+    const inputBuffer = Buffer.from(base64Data, 'base64');
+
+    // 2. 读取图片信息
+    const metadata = await sharp(inputBuffer).metadata();
+    const { width, height } = metadata;
+
+    if (!width || !height) {
+      return { ok: false, error: 'invalid_image_metadata' };
+    }
+
+    // 3. 检测水印配置
+    const config = detectWatermarkConfig(width, height);
+    const position = calculateWatermarkPosition(width, height, config);
+
+    if (position.x < 0 || position.y < 0) {
+      console.log(`[watermark-remover] 图片太小（${width}×${height}），跳过去水印`);
+      return { ok: true, dataUrl, width, height, skipped: true, reason: 'image_too_small' };
+    }
+
+    // 4. 获取 Alpha Map
+    const alphaMap = await getAlphaMap(config.logoSize);
+
+    // 5. 提取像素、反向混合
+    const { data: pixels, info } = await sharp(inputBuffer)
+      .raw()
+      .ensureAlpha()
+      .toBuffer({ resolveWithObject: true });
+
+    removeWatermarkPixels(pixels, info.width, alphaMap, position);
+
+    // 6. 编码回原格式
+    const ext = mime.split('/')[1];
+    let outputPipeline = sharp(pixels, {
+      raw: { width: info.width, height: info.height, channels: info.channels },
+    });
+
+    switch (ext) {
+      case 'jpeg':
+      case 'jpg':
+        outputPipeline = outputPipeline.jpeg({ quality: 95 });
+        break;
+      case 'webp':
+        outputPipeline = outputPipeline.webp({ quality: 95 });
+        break;
+      default:
+        outputPipeline = outputPipeline.png();
+        break;
+    }
+
+    const outputBuffer = await outputPipeline.toBuffer();
+    const outputBase64 = outputBuffer.toString('base64');
+    const outputDataUrl = `data:${mime};base64,${outputBase64}`;
+
+    console.log(`[watermark-remover] ✅ base64 去水印完成: ${width}×${height}, logo=${config.logoSize}px`);
+    return { ok: true, dataUrl: outputDataUrl, width, height, logoSize: config.logoSize };
+  } catch (err) {
+    console.error(`[watermark-remover] ❌ base64 去水印失败: ${err.message}`);
+    return { ok: false, error: err.message };
+  }
+}