import matplotlib.pyplot as plt
import cv2
from fungsi import noisy
from fungsi import ftAritmatik
from fungsi import ftMedian
from fungsi import ftAlphaTrimmedMean
from fungsi import countQuality
# Open Image -> Grayscale
imgAsli = cv2.imread('img/d.png', cv2.IMREAD_GRAYSCALE)
# Add Noisy
imgNoisy = noisy("s&p", imgAsli)
# 1. Show image
cv2.imshow('Gambar Noisy', imgNoisy)
print("Mean Squared Error (Noisy) : ", countQuality(imgAsli, imgNoisy))
# 2. Show histogram
histr = cv2.calcHist([imgNoisy], [0], None, [256], [0, 256])
plt.plot(histr)
plt.title("Gambar Noisy")
plt.ylabel("frequency")
plt.xlabel("range")
plt.show()
# A. Filter Rata rata Aritmatik
# 1. Show image
A = ftAritmatik(imgNoisy)
cv2.imshow('Filter Rata rata Aritmatik', A)
print("Mean Squared Error (Filter Rata rata Aritmetik) : ",
countQuality(imgAsli, A))
from fungsi import ftAritmatik
from fungsi import ftMedian
from fungsi import ftAlphaTrimmedMean
from fungsi import countQuality
# Open Image -> Grayscale
imgAsli = cv2.imread('img/c.png', cv2.IMREAD_GRAYSCALE)
# Add Noisy
imgNoisy=noisy("s&p",imgAsli)
# 1. Show image
cv2.imshow('Gambar Noisy',imgNoisy)
print("Mean Squared Error (Noisy) : ",countQuality(imgAsli,imgNoisy))
# 2. Show histogram
histr = cv2.calcHist([imgNoisy],[0],None,[256],[0,256])
plt.plot(histr)
plt.title("Gambar Noisy")
plt.ylabel("frequency")
plt.xlabel("range")
plt.show()
# A. Filter Rata rata Aritmatik
# 1. Show image
A=ftAritmatik(imgNoisy)
cv2.imshow('Filter Rata rata Aritmatik',A)