1、
def unevenLightCompensate(gray, blockSize): #gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) average = np.mean(gray) rows_new = int(np.ceil(gray.shape[0] / blockSize)) cols_new = int(np.ceil(gray.shape[1] / blockSize)) blockImage = np.zeros((rows_new, cols_new), dtype=np.float32) for r in range(rows_new): for c in range(cols_new): rowmin = r * blockSize rowmax = (r + 1) * blockSize if (rowmax > gray.shape[0]): rowmax = gray.shape[0] colmin = c * blockSize colmax = (c + 1) * blockSize if (colmax > gray.shape[1]): colmax = gray.shape[1] imageROI = gray[rowmin:rowmax, colmin:colmax] temaver = np.mean(imageROI) blockImage[r, c] = temaver blockImage = blockImage - average blockImage2 = cv2.resize(blockImage, (gray.shape[1], gray.shape[0]), interpolation=cv2.INTER_CUBIC) gray2 = gray.astype(np.float32) dst = gray2 - blockImage2 dst[dst>255]=255 dst[dst<0]=0 dst = dst.astype(np.uint8) dst = cv2.GaussianBlur(dst, (3, 3), 0) #dst = cv2.cvtColor(dst, cv2.COLOR_GRAY2BGR) return dst if __name__ == '__main__': file = 'www.png' blockSize = 8 im01 = cv2.imread(file) b_img,g_img,r_img = cv2.split(im01) dstb_img_img = unevenLightCompensate(b_img, blockSize) dstg_img = unevenLightCompensate(g_img, blockSize) dstr_img = unevenLightCompensate(r_img, blockSize) im02 = cv2.merge([dstb_img, dstg_img, dstr_img]) result = np.concatenate([im01, im02], axis=1) cv2.imwrite('result.jpg', result)
2、方法一(RGB归一化)
int main(int argc, char *argv[]) { //double temp = 255 / log(256); //cout << "doubledouble temp ="<< temp<<endl; Mat image = imread("D://vvoo//sun_face.jpg", 1); if (!image.data) { cout << "image loading error" <<endl; return -1; } imshow("原图", image); Mat src(image.size(), CV_32FC3); for (int i = 0; i < image.rows; i++) { for (int j = 0; j < image.cols; j++) { src.at<Vec3f>(i, j)[0] = 255 * (float)image.at<Vec3b>(i, j)[0] / ((float)image.at<Vec3b>(i, j)[0] + (float)image.at<Vec3b>(i, j)[2] + (float)image.at<Vec3b>(i, j)[1]+0.01); src.at<Vec3f>(i, j)[1] = 255 * (float)image.at<Vec3b>(i, j)[1] / ((float)image.at<Vec3b>(i, j)[0] + (float)image.at<Vec3b>(i, j)[2] + (float)image.at<Vec3b>(i, j)[1]+0.01); src.at<Vec3f>(i, j)[2] = 255 * (float)image.at<Vec3b>(i, j)[2] / ((float)image.at<Vec3b>(i, j)[0] + (float)image.at<Vec3b>(i, j)[2] + (float)image.at<Vec3b>(i, j)[1]+0.01); } } normalize(src, src, 0, 255, CV_MINMAX); convertScaleAbs(src,src); imshow("rgb", src); imwrite("C://Users//TOPSUN//Desktop//123.jpg", src); waitKey(0); return 0; }
3、
void unevenLightCompensate(Mat &image, int blockSize) { if (image.channels() == 3) cvtColor(image, image, 7); double average = mean(image)[0]; int rows_new = ceil(double(image.rows) / double(blockSize)); int cols_new = ceil(double(image.cols) / double(blockSize)); Mat blockImage; blockImage = Mat::zeros(rows_new, cols_new, CV_32FC1); for (int i = 0; i < rows_new; i++) { for (int j = 0; j < cols_new; j++) { int rowmin = i*blockSize; int rowmax = (i + 1)*blockSize; if (rowmax > image.rows) rowmax = image.rows; int colmin = j*blockSize; int colmax = (j + 1)*blockSize; if (colmax > image.cols) colmax = image.cols; Mat imageROI = image(Range(rowmin, rowmax), Range(colmin, colmax)); double temaver = mean(imageROI)[0]; blockImage.at<float>(i, j) = temaver; } } blockImage = blockImage - average; Mat blockImage2; resize(blockImage, blockImage2, image.size(), (0, 0), (0, 0), INTER_CUBIC); Mat image2; image.convertTo(image2, CV_32FC1); Mat dst = image2 - blockImage2; dst.convertTo(image, CV_8UC1); } int main(int argc, char *argv[]) { //double temp = 255 / log(256); //cout << "doubledouble temp ="<< temp<<endl; Mat image = imread("C://Users//TOPSUN//Desktop//2.jpg", 1); if (!image.data) { cout << "image loading error" <<endl; return -1; } imshow("原图", image); unevenLightCompensate(image, 12); imshow("rgb", image); imwrite("C://Users//TOPSUN//Desktop//123.jpg", image); waitKey(0); return 0; }
参考:https://www.zhuxianfei.com/python/56327.html
#########################