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Download image ‘city.tif’ from the Google drive. We are going to use histogram processing to improve...

Download image ‘city.tif’ from the Google drive. We are going to use histogram processing to improve this image. Write a program to do the following:

Read and show this image.

Use histogram equalization on this image and show the resulting image in a figure (use function - exposure.equalize_hist())

Compute the histogram of each image and plot the results

Now use adaptive histogram equalization on the original image by using the function – exposure.equalize_adapthist()) using only the “image” parameter. Show equalized image in a new window.

Apply the adaptive histogram to the original image again, this time using additional parameters, kernel_size=x, clip_limit=y, to improve the image further. Use different values for x and y to observe how they affect the image contrast.

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