sehee:[추가]이미지처리

+import cv2
+import numpy as np
+from PIL import Image
+from PIL import ImageFilter
+
+img= cv2.imread('Lenna.png')
+cv2.imshow('Original',img)
+output = img
+
+"""
+#Blur_gaussian
+output = cv2.GaussianBlur(img,(5,5),1)
+cv2.imshow('BlurGaussian',output)
+cv2.imwrite('BlurGaussian.png',output)
+"""
+
+"""
+#Blur
+size = 3
+kernel_motion_blur = np.zeros((size,size))
+kernel_motion_blur[int((size-1)/2),:] = np.ones(size)
+kernel_motion_blur = kernel_motion_blur / size
+
+output = cv2.filter2D(img,-1,kernel_motion_blur)
+cv2.imshow('Blur',output)
+cv2.imwrite('Blur.png',output)
+"""
+
+#Sharpening
+kernel_sharpen_1 = np.array([[-1,-1,-1],[-1,9,-1],[-1,-1,-1]])
+#kernel_sharpen_2 = np.array([[1,1,1],[1,-7,1],[1,1,1]])
+#kernel_sharpen_3 = np.array([[-1,-1,-1,-1,-1],[-1,2,2,2,-1],[-1,2,8,2,-1],[-1,2,2,2,-1],[-1,-1,-1,-1,-1]])/8.0
+
+output_1 = cv2.filter2D(output,-1,kernel_sharpen_1)
+#output_2 = cv2.filter2D(img,-1,kernel_sharpen_2)
+#output_3 = cv2.filter2D(img,-1,kernel_sharpen_3)
+
+
+cv2.imshow('Sharpening',output_1)
+#cv2.imshow('Excessive Sharpening',output_2)
+#cv2.imshow('Edge Enhancement',output_3)
+cv2.imwrite('Sharpening.png',output_1)
+
+img = cv2.imread('input2.png')
+
+img_yuv = cv2.cvtColor(output_1, cv2.COLOR_BGR2YUV)
+img_yuv[:,:,0] = cv2.equalizeHist(img_yuv[:,:,0])
+img_output = cv2.cvtColor(img_yuv,cv2.COLOR_YUV2BGR)
+cv2.imshow('histogram_equalization',img_output)
+cv2.imwrite('histogram_equalization.png',img_output)
+cv2.waitKey()
+
+
+