去水印的API接口開發涉及多種技術方案，具體實現取決于水印類型（如靜態水印、動態水印、隱寫水印等）和需求精度。以下是一個基于Python和OpenCV的簡單示例，適用于去除靜態圖像中的簡單半透明水印：

```python

import cv2

import numpy as np

class WatermarkRemovalAPI:def init(self, kernel_size=5):

self.kernel = np.ones((kernel_size, kernel_size), np.uint8)

def remove_watermark(self, image_path, output_path):
讀取圖像
img = cv2.imread(image_path)
if img is None:
raise ValueError("Could not read image")
轉為灰度圖（根據水印類型調整）
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
去除水平/垂直方向的水印（示例：垂直條紋）
kernel = np.array([[0]self.kernel_size for _ in range(self.kernel_size)], dtype=np.uint8)
blurred = cv2.filter2D(gray, -1, kernel)
中值濾波（適用于椒鹽噪聲型水印）
blurred = cv2.medianBlur(gray, self.kernel_size)
優化：自適應閾值處理
_, thresh = cv2.threshold(blurred, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)
cleaned = cv2.bitwise_and(img, img, mask=thresh)
保存結果
cv2.imwrite(output_path, cleaned)
return output_path

使用示例

if name == "main":

wr = WatermarkRemovalAPI(kernel_size=7)

result_path = wr.remove_watermark("input.jpg", "output.jpg")

print(f"Processing completed. Result saved to {result_path