🔒 Mapping a grayscale image

[obtuse orbit]

I am trying to apply histogram equalization in this image

[wind hare]

@obtuse orbit

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[obtuse orbit]

I have a mapping whichs a 256 size array, I wish to map every pixel to it's new value according to their original values

like if original pixel value is 12, and mapping[12] is 138 new pixel value should be 138

how can I do this without iterating through

[stiff finch]

!e I suppose you want something like this

import numpy as np

mapping = np.array([4, 2, 3, 0, 1])
image = np.array([[0, 1, 1, 0], [2, 2, 2, 2], [0, 3, 3, 0]])

print(mapping[image])

[wind hare]

:white_check_mark: Your 3.12 eval job has completed with return code 0.

001 | [[4 2 2 4]
002 |  [3 3 3 3]
003 |  [4 0 0 4]]

[obtuse orbit]

ahhh i tried the other way around

was writing a hashmap instead, needlessly it appears

i love numpy

thank you

.close

yes

/close

!close

[wind hare]

Python help channel closed

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