def flip_vertical(img: Cimpl.Image) -> Cimpl.Image:
"""
author: himanshu singh
flips the image vertically (Cimpl.Image object) and returns it when called.
>>> flip_vertical(Cimpl.load_image("image.jpg"))
returns a vertically flipped image
"""
newimage = Cimpl.copy(img)
height1 = Cimpl.get_height(img) # get image height
width1 = Cimpl.get_width(img) # get image width
for y in range(height1):
for x in range(width1):
change = height1 - y - 1
# editing height to flip vertically (change)
# change implemented below to make changes to the actual image passed
# in below
Cimpl.set_color(newimage, x, y, Cimpl.get_color(img, x, change))
Cimpl.set_color(newimage, x, change, Cimpl.get_color(img, x, y))
return newimage
def detect_edges(original_image: Cimpl.Image, threshold: float) -> Cimpl.Image:
""" The author: Ibrahim Kasim
returns a copy of the original image with edge detection filter apllied to it."""
new_image = Cimpl.copy(original_image)
total_width = Cimpl.get_width(original_image)
total_height = Cimpl.get_height(original_image)
blacked = Cimpl.create_color(0, 0, 0)
whited = Cimpl.create_color(255, 255, 255)
for x, y, pixels in original_image:
if x != total_width and y != total_height - 1:
pixel_top = Cimpl.get_color(original_image, x, y)
pixel_bottom = Cimpl.get_color(original_image, x, y + 1)
average_top = (pixel_top[0] + pixel_top[1] + pixel_top[2]) / 3
average_bottom = (pixel_bottom[0] + pixel_bottom[1] +
pixel_bottom[2]) / 3
difference = abs(average_bottom - average_top)
if x == total_width:
Cimpl.set_color(new_image, x, y, whited)
elif difference > threshold:
Cimpl.set_color(new_image, x, y, blacked)
else:
Cimpl.set_color(new_image, x, y, whited)
def check_equal(expected: Cimpl.Image, outcome: Cimpl.Image) -> None:
"""
Author: Zakaria Ismail
Checks if PARAMETERS expected and outcome,
both Cimpl.Image objects are:
1. Of the same type
2. Have the same pixel at each location - Quantitatively the same
Assumes both PARAMETERS have the same dimensions <- should this be taken into account?
"""
errors = 0
if type(expected) == type(outcome):
for x, y, exp_col in expected:
out_col = Cimpl.get_color(outcome, x, y)
if exp_col != out_col:
print("ERROR: Color discrepancy detected at x:{} y:{}\n"
"Expected: {}\n"
"Outcome: {}".format(x, y, exp_col, out_col))
errors += 1
if errors == 0:
print(
"SUCCESS: expected and outcome are of the same type and have identical pixels."
)
else:
print("{} ERRORS detected.".format(errors))
else:
print("ERROR: Different types detected.\n"
"Expected: Type {}\n"
"Outcome: Type {}".format(type(expected), type(outcome)))
def check_equal(expected: Cimpl.Image, outcome: Cimpl.Image) -> None:
"""
Author: Zakaria Ismail
RETURNS nothing. Checks if PARAMETERS expected and outcome,
both Cimpl.Image objects are:
1. Of the same type
2. Have the same pixel at each location - Quantitatively the same
>>> check_equal(Cimpl.load_image('p2-original.jpg'), Cimpl.load_image('combined_image.png'))
-> Test results and error messages are printed.
"""
errors = 0
if type(expected) == type(outcome):
for x, y, exp_col in expected:
out_col = Cimpl.get_color(outcome, x, y)
if exp_col != out_col:
print("ERROR: Color discrepancy detected at x:{} y:{}\n"
"Expected: {}\n"
"Outcome: {}".format(x, y, exp_col, out_col))
errors += 1
if errors == 0:
print(
"SUCCESS: expected and outcome are of the same type and have identical pixels."
)
else:
print("{} ERRORS detected.".format(errors))
else:
print("ERROR: Different types detected.\n"
"Expected: Type {}\n"
"Outcome: Type {}".format(type(expected), type(outcome)))
def detect_edges_better(image: Cimpl.Image, threshold: int) -> Cimpl.Image:
"""
Author:YANGLONG LIU 101141366
returns a Image with only black and white color depending on the comparsion
between contrast and threshold.
>>>improved_detect_image = detect_edges_better(raw_image, 13)
>>>show(improved_detect_image) which returned image looks like pencil skectches.
"""
new_image = Cimpl.copy(image)
wdt = Cimpl.get_width(new_image)
hgt = Cimpl.get_height(new_image)
for x in range(wdt):
for y in range(hgt):
if y < hgt - 1: # make a confirmation for the bottom line is not in this range
red, green, blue = Cimpl.get_color(image, x, y)
red1, green1, blue1 = Cimpl.get_color(
image, x,
y + 1) # the pixel below the pixel of raw image one
red2, green2, blue2 = Cimpl.get_color(
image, x - 1, y) # the right one of the pixel
brightness1 = (red + blue + green) / 3
brightness2 = (red1 + blue1 + green1) / 3
brightness3 = (red2 + blue2 + green2) / 3
contrast1 = abs(brightness2 - brightness1)
contrast2 = abs(brightness3 - brightness1)
if contrast1 > threshold or contrast2 > threshold: # make a comparsion the contrast with threshold
red, green, blue = 0, 0, 0 # if the contrast is higher, change color to black.
black = Cimpl.create_color(red, green, blue)
Cimpl.set_color(new_image, x, y, black)
else:
red, green, blue = 255, 255, 255 # if the contrast is lower, change color to white.
white = Cimpl.create_color(red, green, blue)
Cimpl.set_color(new_image, x, y, white)
elif y == hgt - 1: # the bottom row of the image which the bottom line is in this range
red, green, blue = 255, 255, 255 # change to white simply.
white = Cimpl.create_color(red, green, blue)
Cimpl.set_color(new_image, x, y, white)
return new_image
def flip_horizontal(img: Cimpl.Image) -> Cimpl.Image:
"""
Author: Zakaria Ismail
RETURNS a Cimpl.Image
that was flipped, after
being PASSED img
img is a Cimpl.Image object
>>> flip_horizontal(Cimpl.load_image(Cimpl.choose_file()))
"""
hgt = Cimpl.get_height(img)
wth = Cimpl.get_width(img)
mid_x = wth // 2
copy = Cimpl.copy(img)
for y in range(hgt):
for x in range(mid_x):
# r1, g1, b1 = Cimpl.get_color(img, x, y)
# r2, g2, b2 = Cimpl.get_color(img, x, hgt-y)
Cimpl.set_color(copy, x, y, Cimpl.get_color(img, wth - x - 1, y))
Cimpl.set_color(copy, wth - x - 1, y, Cimpl.get_color(img, x, y))
return copy
def combine(r_img: Cimpl.Image, g_img: Cimpl.Image,
b_img: Cimpl.Image) -> Cimpl.Image:
"""
Author: Zakaria Ismail
RETURNS an ImageObject where
three Cimpl.Image objects are passed.
Combines the color channels
of the three arguments.
>>> Cimpl.show(combine(Cimpl.load_image('red_image.png'), Cimpl.load_image('green_image.png'), Cimpl.load_image('blue_image.png'))
-> Returns a Cimpl.Image object
"""
base = Cimpl.copy(r_img)
for x, y, (r, g, b) in base:
g_r, g_g, g_b = Cimpl.get_color(g_img, x, y)
b_r, b_g, b_b = Cimpl.get_color(b_img, x, y)
color = Cimpl.create_color(compute_sum(r, g_r, b_r),
compute_sum(g, g_g, b_g),
compute_sum(b, g_b, b_b))
Cimpl.set_color(base, x, y, color)
Cimpl.save_as(base, 'combined_image.png')
return base
def sepia(image):
"""
Author: YANGLONG LIU
return a grayscaled Image object after being passed a Image object.
"""
hgt = Cimpl.get_height(image)
wth = Cimpl.get_width(image)
for x in range(wth):
for y in range(hgt):
red, green, blue = Cimpl.get_color(image, x, y)
if red < 63:
blue = blue * 0.9
red = red * 1.1
elif 63 <= red and 193 >= red:
blue = blue * 0.85
red = red * 1.15
elif red > 191:
blue = blue * 0.93
red = red * 1.08
new_color = Cimpl.create_color(red, blue, green)
Cimpl.set_color(image, x, y, new_color)
return image
