| import cv2
|
| import numpy as np
|
|
|
| def detect_watermark_image(image):
|
| ycrcb_image = cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)
|
| y_channel, _, _ = cv2.split(ycrcb_image)
|
| dct_y = cv2.dct(np.float32(y_channel))
|
|
|
|
|
| watermark = np.zeros_like(dct_y)
|
| rows, cols = dct_y.shape
|
| font = cv2.FONT_HERSHEY_SIMPLEX
|
| text = "WATERMARK"
|
| text_size = cv2.getTextSize(text, font, 0.5, 1)[0]
|
| text_x = np.random.randint(0, cols - text_size[0])
|
| text_y = np.random.randint(text_size[1], rows)
|
| watermark = cv2.putText(watermark, text, (text_x, text_y), font, 0.5, (0, 0, 255), 1, cv2.LINE_AA)
|
|
|
| detected_image = cv2.idct(dct_y + watermark)
|
| detected_image = np.uint8(np.clip(detected_image, 0, 255))
|
|
|
| return detected_image
|
|
|
