#‹P“x”½“]ƒvƒƒOƒ‰ƒ€
import cv2
import numpy as np

#‹P“x”½“]
def NP(img): 
    for h in range(0,height):
        for w in range(0,width):
            #‹P“xp‚𔽓]
            img.itemset((h,w),255-img.item(h,w))
            
            
            
 #ƒOƒŒ[ƒXƒP[ƒ‹‰»(ŽQl)   
def CH(img):
    height = img.shape[0]
    width  = img.shape[1]
    
    for h in range(0,height):
        for w in range(0,width):
            p0=img.item(h,w,0)
            p1=img.item(h,w,1)
            p2=img.item(h,w,2)
            
            p3 = 0.298912*p2 + 0.586611*p1 + 0.114478*p0
            img.itemset((h,w,0),p3)
            img.itemset((h,w,1),p3)
            img.itemset((h,w,2),p3)
            
if __name__=="__main__":
    #‰ζ‘œ“ό—Ν
    img=cv2.imread('image/input.bmp',cv2.IMREAD_GRAYSCALE)
    #‰ζ‘œ‚Μheight(‚‚³),width(•)‚π“ǂݍž‚ή
    height = img.shape[0]
    width  = img.shape[1]
    #‹P“x”½“]
    NP(img)
    #‰ζ‘œo—Ν
    cv2.imwrite('image/output.bmp',img)