图像处理中从彩色到灰度的变化

Question

today I treid a python filtering code that supposes to increase the noise in the image(de-noising) for a gray-scale image(medical image) and it's for a skull, the problem is i keep getting colored pixels, i mean the noise increased in terms of colored image, not in grayscale so please help me to make the code filter in gray-scale mode, extra details:

the code:

enter link description to see the filter code

original image:

the de-noised image after applying noise filter:

you can see the problem clearly that when i zoom into the picture i can see the colored pixels, while it supposes to be a gray-scale form

colored pixels in the filtered image:

partial zoom in

full zoom in

so please guess does anybody knows how to edit that code so that it can increase the noise in form of grayscale mode.

Answer 1

Your input image is a 3-channel JPEG. Make it greyscale (1 channel) before applying noise then it won't be able to treat the channels differently because there will only be one.

img.transform_colorspace('gray')