Answered: Python exercice. consider the atttached…

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter7: Input/output Technology

Section: Chapter Questions

Problem 6VE

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Python exercice.

consider the atttached file for further details.

Old-fashioned photographs from the nineteenth century are not quite black and white and not quite color, but seem to have shades of gray, brown, and blue. This effect is known as sepia, as shown in the figures below.

Original	Sepia

^{Original Image & Sepia Image}

Write and test a function named sepia that converts a color image to sepia. This function should first call grayscale to convert the color image to grayscale. A code segment for transforming the grayscale values to achieve a sepia effect follows.
Note that the value for green does not change.

(red, green, blue) = image.getPixel(x, y)
if red < 63:
    red = int(red * 1.1)
    blue = int(blue * 0.9)
elif red < 192:
    red = int(red * 1.15)
    blue = int(blue * 0.85)
else:
    red = min(int(red * 1.08), 255)
    blue = int(blue * 0.93)

images.py

To instantiate an image from a file, enter

image = Image(aGifFileName)

To instantiate a blank image, enter

image = Image(aWidth, aHeight)

Image methods:

draw() Displays the image in a window

getWidth() -> anInt The width in pixels

getHeight() -> anInt The height in pixels

getPixel(x, y) -> (r, g, b) The RGB values of pixel at x, y

setPixel(x, y, (r, g, b)) Resets pixel at x, y to (r, g, b)

save() Saves the image to the current file name

save(aFileName) Saves the image to fileName

LICENSE: This is open-source software released under the terms of the

GPL (http://www.gnu.org/licenses/gpl.html).

"""

import image

def convertSepia(input_image):

grayscale_image=image.EmptyImage(input_image.getWidth(),input_image.getHeight())

for col in range (input_image.getWidth):

for row in range(input_image.getHeight()):

p=input_image.getPixel(col,row)

R=p.getRed()

G=p.getGreen()

B=p.getBlue()

newR=(R*1.1+G*0.769+B*0.9)

newG=(R*1.15+G*0.686+B*0.85)

newB=(R*1.08+G*0.534+B*0.08)

newpixel=image.Pixel(newR,newG,newB)

grayscale_image.setPixel(col,row,newpixel)

sepia_image=image.EmptyImage(input_image.getWidth(),input_input_image.getHeight())

for col in range(input_image.getWidth()):

for row in range(input_image.getHeight()):

p=grayscale_image.getPixel(col,row)

red=p.getRed()

if red>140:

val=(R*0.393+G*0.769+B*0.189)

else:

val=0

green=p.getGreen()

if green>140:

val=(R*0.349+G*0.686+B*0.168)

else:

val=0

blue=p.getBlue()

if Blue>140:

val=(R*0.272+G*0.534+B*0.131)

else:

val=0

newpixel=image.Pixel(val,val,val)

sepia_image.setPixel(col,row,newpixel)

return sepia_image

win=image.ImageWin()img=image.Image ("sepia")

sepia_img=convertSepia(img)sepia_img.draw(win)

win.exitonclick()

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