wolfram mathematica - Removing background noise from image -



wolfram mathematica - Removing background noise from image -

i have 2 images. first 1 of background noise + content, , sec 1 of background noise. subtract sec image first remove noise content. image in greyscale.

i'm confused between various ways handle this, handling of greyscale values in mathematica.

1) firstly, may utilize imagesubtract[imageone, imagetwo].

2) using imagedifference[imageone, imagetwo], avoid negative pixel values, image artificial @ places would've had have negative pixels when using imagesubtract.

3) obtain values of each pixel using imagedata, subtract each corresponding value , display result using image.

each of these methods yields different results.

for images real info types, pixel values can negative, , these 3 operations equivalent:

real1 = image[randomreal[1, {10, 10}]]; real2 = image[randomreal[1, {10, 10}]]; imagedata[imagedifference[real1, real2]] == abs@imagedata[imagesubtract[real1, real2]] == abs[imagedata[real1] - imagedata[real2]] out[4]= true

but not case images of integer datatypes. because positive values can stored in such images, , negative results subtraction clipped 0 in output image:

int1 = image[randominteger[255, {10, 10}], "byte"]; int2 = image[randominteger[255, {10, 10}], "byte"];

this still true:

imagedata[imagedifference[int1, int2]] == abs[imagedata[int1] - imagedata[int2]]

but these 2 different because of clipping:

imagedata[imagedifference[int1, int2]] == abs@imagedata[imagesubtract[int1, int2]]

there less puzzling results when converting both input images "real" or "real32" info type.

image-processing wolfram-mathematica

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