123 lines
No EOL
2.8 KiB
Python
123 lines
No EOL
2.8 KiB
Python
# -*- coding: utf-8 -*-
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import matplotlib.pyplot as plt
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import numpy as np
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from PIL import Image
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import PIL
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#import image
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imCol = plt.imread("mini.jpg", format=None)
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imRecons = np.zeros((len(imCol[:,0]), len(imCol[0,:]), 3))
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erreur = np.ones((len(imCol[:,0]), len(imCol[0,:]), 3))
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imRed = imCol[:,:,0]
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imGreen = imCol[:,:,1]
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imBlue = imCol[:,:,2]
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iterationsGlobales = 30
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iterations = 20
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#RED
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# compress
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FF= [[]]*len(imRed[:,0])
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GG= [[]]*len(imRed[0,:])
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for x in range(iterationsGlobales):
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F=np.ones((len(imRed[:,0]), 1))
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G=np.ones((len(imRed[0,:]), 1))
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for y in range(iterations):
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F = np.dot(imRed, G) / np.dot(np.transpose(G), G)
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G = np.dot(np.transpose(imRed), F) / np.dot(np.transpose(F), F)
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FF = np.append(FF, F, 1)
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GG = np.append(GG, G, 1)
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imRed = imRed - np.dot(F,np.transpose(G))
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erreur[:,:,0] = imRed - np.dot(FF,np.transpose(GG))
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imRecons[:,:,0] = np.dot(FF,np.transpose(GG))
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#GREEN
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# compress
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FF= [[]]*len(imGreen[:,0])
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GG= [[]]*len(imGreen[0,:])
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for x in range(iterationsGlobales):
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F=np.ones((len(imGreen[:,0]), 1))
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G=np.ones((len(imGreen[0,:]), 1))
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for y in range(iterations):
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F = np.dot(imGreen, G) / np.dot(np.transpose(G), G)
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G = np.dot(np.transpose(imGreen), F) / np.dot(np.transpose(F), F)
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FF = np.append(FF, F, 1)
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GG = np.append(GG, G, 1)
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imGreen = imGreen - np.dot(F,np.transpose(G))
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erreur[:,:,1] = imGreen - np.dot(FF,np.transpose(GG))
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imRecons[:,:,1] = np.dot(FF,np.transpose(GG))
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#BLUE
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# compress
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FF= [[]]*len(imBlue[:,0])
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GG= [[]]*len(imBlue[0,:])
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for x in range(iterationsGlobales):
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F=np.ones((len(imBlue[:,0]), 1))
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G=np.ones((len(imBlue[0,:]), 1))
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for y in range(iterations):
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F = np.dot(imBlue, G) / np.dot(np.transpose(G), G)
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G = np.dot(np.transpose(imBlue), F) / np.dot(np.transpose(F), F)
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FF = np.append(FF, F, 1)
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GG = np.append(GG, G, 1)
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imBlue = imBlue - np.dot(F,np.transpose(G))
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erreur[:,:,2] = imBlue - np.dot(FF,np.transpose(GG))
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imRecons[:,:,2] = np.dot(FF,np.transpose(GG))
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imRecons = imRecons/255
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#erreur = erreur/255
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#imRecons = np.round(imRecons, 4)
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# plot
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plt.figure(dpi=300)
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plt.subplot(1, 2, 1)
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plt.axis('off')
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plt.title("Original", loc='center', pad=None)
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plt.imshow(imCol, interpolation = "nearest")
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#plt.subplot(1, 3, 2)
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#plt.axis('off')
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#plt.title("Erreur", fontdict=None, loc='center', pad=None)
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#plt.imshow(erreur, interpolation = "nearest")
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plt.subplot(1, 2, 2)
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plt.axis('off')
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plt.title("Compressed", fontdict=None, loc='center', pad=None)
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plt.imshow(imRecons, interpolation = "nearest")
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plt.show()
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tauxComp = round(100-((len(imCol[:,0])+len(imCol[0,:]))*iterationsGlobales)/((len(imCol[:,0])*len(imCol[0,:])))*100,0)
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print(tauxComp, "% de compression") |