Replacing colors of all pixels in an image using a color difference using python
I'm trying to change all the pixels of one image to a particular color using a color difference to keep the different tones and outlines.
I've already tried looping through all the pixels, subtracting the color tuple from the one I want to replace it with, and replaced it but then I get a gray/ash image as a result.
For finding the color difference, this is the approach I used
from colormath.color_objects import sRGBColor, LabColor
from colormath.color_conversions import convert_color
from colormath.color_diff import delta_e_cie2000
from trying_out_colors import get_main_color
def find_color_difference_with_tuple(tuple_1, tuple_2):
a, b, c = tuple_1
d, e, f = tuple_2
rgb_1 = sRGBColor(a, b, c)
lab_1 = convert_color(rgb_1, LabColor)
rgb_2 = sRGBColor(d, e, f)
lab_2 = convert_color(rgb_2, LabColor)
difference = delta_e_cie2000(lab_1, lab_2)
return difference
Then for replacing the colors, this is the approach I used
import numpy
from PIL import Image
from trying_out_colors import get_main_color
from color_difference import find_color_difference_with_tuple
source_image = "source.png"
destination_image = "destination.png"
# get_main_color function finds the dominant color of an image
value = get_main_color(source_image)
destination = Image.open(destination_image)
new = Image.new("RGB", destination.size, 0xffffff)
width, height = destination.size
for x in range(width):
for y in range(height):
destiny = destination.getpixel((x, y))
color_diff = find_color_difference_with_tuple(value, destiny)
total_diff = tuple(numpy.subtract(value, color_diff))
total_diff = tuple([int(x) for x in total_diff])
new.putpixel((x, y), total_diff)
new.save("new_image.png")
So, assuming this is the destination image
And this is the source image, I'm trying to get the dominant color from the source image, then using the color difference from the dominant color and each of the pixel of the destination image, replacing all pixels so as to make the destination image the same complexion as the source image.
I hope I explained my question well.
And here is the result I get after running the code
Also, if there's any way to make the code run faster, I would really appreciate. This one takes about 5 minutes to run.
python python-imaging-library
asked Dec 31 '18 at 21:13
GozieGozie
839
add a comment |
I'm trying to change all the pixels of one image to a particular color using a color difference to keep the different tones and outlines.
I've already tried looping through all the pixels, subtracting the color tuple from the one I want to replace it with, and replaced it but then I get a gray/ash image as a result.
For finding the color difference, this is the approach I used
from colormath.color_objects import sRGBColor, LabColor
from colormath.color_conversions import convert_color
from colormath.color_diff import delta_e_cie2000
from trying_out_colors import get_main_color
def find_color_difference_with_tuple(tuple_1, tuple_2):
a, b, c = tuple_1
d, e, f = tuple_2
rgb_1 = sRGBColor(a, b, c)
lab_1 = convert_color(rgb_1, LabColor)
rgb_2 = sRGBColor(d, e, f)
lab_2 = convert_color(rgb_2, LabColor)
difference = delta_e_cie2000(lab_1, lab_2)
return difference
Then for replacing the colors, this is the approach I used
import numpy
from PIL import Image
from trying_out_colors import get_main_color
from color_difference import find_color_difference_with_tuple
source_image = "source.png"
destination_image = "destination.png"
# get_main_color function finds the dominant color of an image
value = get_main_color(source_image)
destination = Image.open(destination_image)
new = Image.new("RGB", destination.size, 0xffffff)
width, height = destination.size
for x in range(width):
for y in range(height):
destiny = destination.getpixel((x, y))
color_diff = find_color_difference_with_tuple(value, destiny)
total_diff = tuple(numpy.subtract(value, color_diff))
total_diff = tuple([int(x) for x in total_diff])
new.putpixel((x, y), total_diff)
new.save("new_image.png")
So, assuming this is the destination image
And this is the source image, I'm trying to get the dominant color from the source image, then using the color difference from the dominant color and each of the pixel of the destination image, replacing all pixels so as to make the destination image the same complexion as the source image.
I hope I explained my question well.
And here is the result I get after running the code
Also, if there's any way to make the code run faster, I would really appreciate. This one takes about 5 minutes to run.
python python-imaging-library
asked Dec 31 '18 at 21:13
GozieGozie
839
add a comment |
I'm trying to change all the pixels of one image to a particular color using a color difference to keep the different tones and outlines.
I've already tried looping through all the pixels, subtracting the color tuple from the one I want to replace it with, and replaced it but then I get a gray/ash image as a result.
For finding the color difference, this is the approach I used
from colormath.color_objects import sRGBColor, LabColor
from colormath.color_conversions import convert_color
from colormath.color_diff import delta_e_cie2000
from trying_out_colors import get_main_color
def find_color_difference_with_tuple(tuple_1, tuple_2):
a, b, c = tuple_1
d, e, f = tuple_2
rgb_1 = sRGBColor(a, b, c)
lab_1 = convert_color(rgb_1, LabColor)
rgb_2 = sRGBColor(d, e, f)
lab_2 = convert_color(rgb_2, LabColor)
difference = delta_e_cie2000(lab_1, lab_2)
return difference
Then for replacing the colors, this is the approach I used
import numpy
from PIL import Image
from trying_out_colors import get_main_color
from color_difference import find_color_difference_with_tuple
source_image = "source.png"
destination_image = "destination.png"
# get_main_color function finds the dominant color of an image
value = get_main_color(source_image)
destination = Image.open(destination_image)
new = Image.new("RGB", destination.size, 0xffffff)
width, height = destination.size
for x in range(width):
for y in range(height):
destiny = destination.getpixel((x, y))
color_diff = find_color_difference_with_tuple(value, destiny)
total_diff = tuple(numpy.subtract(value, color_diff))
total_diff = tuple([int(x) for x in total_diff])
new.putpixel((x, y), total_diff)
new.save("new_image.png")
So, assuming this is the destination image
And this is the source image, I'm trying to get the dominant color from the source image, then using the color difference from the dominant color and each of the pixel of the destination image, replacing all pixels so as to make the destination image the same complexion as the source image.
I hope I explained my question well.
And here is the result I get after running the code
Also, if there's any way to make the code run faster, I would really appreciate. This one takes about 5 minutes to run.
python python-imaging-library
asked Dec 31 '18 at 21:13
GozieGozie
839
I'm trying to change all the pixels of one image to a particular color using a color difference to keep the different tones and outlines.
I've already tried looping through all the pixels, subtracting the color tuple from the one I want to replace it with, and replaced it but then I get a gray/ash image as a result.
For finding the color difference, this is the approach I used
from colormath.color_objects import sRGBColor, LabColor
from colormath.color_conversions import convert_color
from colormath.color_diff import delta_e_cie2000
from trying_out_colors import get_main_color
def find_color_difference_with_tuple(tuple_1, tuple_2):
a, b, c = tuple_1
d, e, f = tuple_2
rgb_1 = sRGBColor(a, b, c)
lab_1 = convert_color(rgb_1, LabColor)
rgb_2 = sRGBColor(d, e, f)
lab_2 = convert_color(rgb_2, LabColor)
difference = delta_e_cie2000(lab_1, lab_2)
return difference
Then for replacing the colors, this is the approach I used
import numpy
from PIL import Image
from trying_out_colors import get_main_color
from color_difference import find_color_difference_with_tuple
source_image = "source.png"
destination_image = "destination.png"
# get_main_color function finds the dominant color of an image
value = get_main_color(source_image)
destination = Image.open(destination_image)
new = Image.new("RGB", destination.size, 0xffffff)
width, height = destination.size
for x in range(width):
for y in range(height):
destiny = destination.getpixel((x, y))
color_diff = find_color_difference_with_tuple(value, destiny)
total_diff = tuple(numpy.subtract(value, color_diff))
total_diff = tuple([int(x) for x in total_diff])
new.putpixel((x, y), total_diff)
new.save("new_image.png")
So, assuming this is the destination image
And this is the source image, I'm trying to get the dominant color from the source image, then using the color difference from the dominant color and each of the pixel of the destination image, replacing all pixels so as to make the destination image the same complexion as the source image.
I hope I explained my question well.
And here is the result I get after running the code
Also, if there's any way to make the code run faster, I would really appreciate. This one takes about 5 minutes to run.
python python-imaging-library
python python-imaging-library
asked Dec 31 '18 at 21:13
GozieGozie
839
asked Dec 31 '18 at 21:13
GozieGozie
839
edited Jan 1 at 21:42
Gozie
asked Dec 31 '18 at 21:13
GozieGozie
839
asked Dec 31 '18 at 21:13
GozieGozie
839
asked Dec 31 '18 at 21:13
GozieGozie
839
839
add a comment |
add a comment |
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