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import matplotlib.pyplot as plt import numpy as np from skimage import io from matplotlib.colors import NoNorm # Read the image im = io.imread('Images/gradiant.png') # Show the image plt.figure() plt.imshow(im, cmap='gray') plt.axis('off') plt.title('Gradient') plt.show() # TODO: Complete the required dynamic ranges for the image rangeA = [0, 127] def nigodiot (aold,bold,anew,bnew,image): newimage = [bnew/(bold-aold)]*(image)+anew newimage=np.uint8(newimage) return newimage def plot(image,imagename): plt.figure() plt.imshow(image, cmap='gray', norm = NoNorm() ) #לא למפות לבין 0 לבין 255 plt.axis('off') plt.title(imagename) plt.show() print("maor plot done") im2=nigodiot(0,255,0,255,im) plot(im2,"new range")
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