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December 11, 2015 21:49
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Simple HDR image filter implementation
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import cv | |
import sys | |
input_img_name = sys.argv[1] | |
output_img_name = sys.argv[2] | |
input_img = cv.LoadImage(input_img_name, cv.CV_LOAD_IMAGE_COLOR) | |
# blur the image | |
dst = cv.CreateImage(cv.GetSize(input_img), input_img.depth, input_img.channels) | |
cv.Smooth(input_img, dst, cv.CV_GAUSSIAN, 3, 3) | |
#cv.SaveImage('blur_image.jpg', dst) | |
final_result = cv.CreateImage(cv.GetSize(input_img), input_img.depth, | |
input_img.channels) | |
for row in xrange(input_img.height): | |
for col in xrange(input_img.width): | |
ib, ig, ir = input_img[row, col] | |
db, dg, dr = dst[row, col] | |
newb, newg, newr = 0, 0, 0 | |
if db / 255.0 <= 0.5: | |
newb = 2 * (db / 255.0) * (ib / 255.0) | |
else: | |
newb = 1 - 2 * (1 - ib / 255.0) * (1 - db / 255.0) | |
if dg / 255.0 <= 0.5: | |
newg = 2 * (dg / 255.0) * (ig / 255.0) | |
else: | |
newg = 1 - 2 * (1 - ig / 255.0) * (1 - dg / 255.0) | |
if dr / 255.0 <= 0.5: | |
newr = 2 * (dr / 255.0) * (ir / 255.0) | |
else: | |
newr = 1 - 2 * (1 - ir / 255.0) * (1 - dr / 255.0) | |
#print newb, newg, newr | |
final_result[row, col] = (newb * 255, newg * 255, newr * 255) | |
laplace_img = cv.CreateImage(cv.GetSize(input_img), input_img.depth, | |
input_img.channels) | |
#convert to gray scale image | |
#cv.CvtColor(final_result, laplace_img, cv.CV_BGR2GRAY) | |
#cv.Laplace(grayimg, laplace_img) | |
#sharpen the image | |
mask = [ | |
[0, -1, 0], | |
[-1, 4, -1], | |
[0, -1, 0] | |
] | |
for row in xrange(1, laplace_img.height - 1): | |
for col in xrange(1, laplace_img.width - 1): | |
sum_list = [0 for i in xrange(3)] | |
for i in xrange(3): | |
_sum = 0 | |
_sum += final_result[row - 1, col - 1][i] * mask[0][0] | |
_sum += final_result[row - 1, col][i] * mask[0][1] | |
_sum += final_result[row - 1, col + 1][i] * mask[0][2] | |
_sum += final_result[row, col - 1][i] * mask[1][0] | |
_sum += final_result[row, col][i] * mask[1][1] | |
_sum += final_result[row, col + 1][i] * mask[1][2] | |
_sum += final_result[row + 1, col - 1][i] * mask[2][0] | |
_sum += final_result[row + 1, col][i] * mask[2][1] | |
_sum += final_result[row + 1, col + 1][i] * mask[2][2] | |
sum_list[i] = _sum | |
laplace_img[row, col] = tuple(sum_list) | |
for row in xrange(final_result.height): | |
for col in xrange(final_result.width): | |
bl, gl, rl = laplace_img[row, col] | |
b, g, r = final_result[row, col] | |
final_result[row, col] = (b + bl, g + gl, r + rl) | |
cv.SaveImage(output_img_name, final_result) |
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You need to install opencv's python binding.
usage: simpleHDR.py input_image_name output_image_name