(Consider DB as 8x8 and L=8). Like the BHD, BVD is made sensitive to local motion activities by computing the block histogram differences between two blocks. The φ is a threshold value and we propose ...
srcImage = cv2.imread("./etri_maskDB_results/mask_inpainting/000001-004.jpg") dstImage = cv2.imread("./etri_maskDB_results/skin/000001-004.jpg") srcHist = cv2 ...
score = np.sum((histogram[1:] - histogram[:-1]) ** 2, dtype=float) ...
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