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- """
- /**
- * Copyright 2020 Zhejiang Lab. All Rights Reserved.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================
- */
- """
-
- import cv2
- import numpy as np
-
-
- def hist_equalize(img):
- """The implementation of histgram equalization in channel L"""
- img_HLS = cv2.cvtColor(img, cv2.COLOR_BGR2HLS)
- h, l, s = cv2.split(img_HLS)
- lH = cv2.equalizeHist(l)
- temp = cv2.merge((h, lH, s))
- re = cv2.cvtColor(temp, cv2.COLOR_HLS2BGR)
- return re
-
-
- def YUV_hist_equalize(img):
- """The implementation of histgram equalization in channel YUV"""
- imgYUV = cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)
- channelYUV = cv2.split(imgYUV)
- channelYUV[0] = cv2.equalizeHist(channelYUV[0])
- channels = cv2.merge(channelYUV)
- re = cv2.cvtColor(channels, cv2.COLOR_YCrCb2BGR)
- return re
-
-
- def adaptive_hist_equalize(img):
- """The implementation of constrast limited adaptive histgram equalization"""
- clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
- imgYUV = cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)
- channelYUV = cv2.split(imgYUV)
- channelYUV[0] = clahe.apply(channelYUV[0])
- channels = cv2.merge(channelYUV)
- re = cv2.cvtColor(channels, cv2.COLOR_YCrCb2BGR)
- return re
-
-
- def log_trans(img):
- img_out = 42 * np.log(1.0 + img)
- img_out = np.uint8(img_out + 0.5)
- return img_out
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