Next, you will be implementing the high_contrast function. This produces an image with high contrast values by forcing each color to be at either 0 or 255 - meaning that pixels will likely be either very bright or very dark. To do this, for every pixel, we'll take each
Next, you will be implementing the high_contrast function. This produces an image with high contrast values by forcing each color to be at either 0 or 255 - meaning that pixels will likely be either very bright or very dark. To do this, for every pixel, we'll take each
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
In python

Transcribed Image Text:くくく
transform_image('dice.bmp', 'high_contrast'
)
>>>
transform_image('cat.bmp', 'high_contrast')
>>>
transform_image('connector.bmp', 'high_cont
rast')
12
01
20
8
12
dice.bmp
ol
20
8
high_contrast_dice.bmp
8
√8
8
6.
cat.bmp
high_contrast_cat.bmp
![Next, you will be implementing the high_contrast
function. This produces an image with high contrast
values by forcing each color to be at either 0 or 255 -
meaning that pixels will likely be either very bright or
very dark. To do this, for every pixel, we'll take each
color value and apply the following transformation:
If the number is less than or equal to 127, set it to
0.
If the number is greater than or equal to 128, set it
to 255.
Examples:
>>> high_contrast([[[127, 127, 127], [0,
0, 0]],
[[255, 255, 0], [50, 128, 255]],
[[0, 0, 255], [0, 255, 0]],
[[255, 0, 0], [255, 255, 255]]])
[[[0, 0, 0], [0, 0, 0]],
[[255, 255, 0], [0, 255, 255]],
[[0, 0, 255], [0, 255, 0]],
[[255, 0, 0], [255, 255, 255]]]
>>> high_contrast([[[36, 155, 90], [63,
208, 208], [151, 3, 14]],
[[53, 204, 53], [99, 103, 10], [94, 138,
216]]])
[[[0, 255, 0], [0, 255, 255], [255, 0,
0]],
[[0, 255, 0], [0, 0, 0], [0, 255, 255]]]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fea258185-b79a-47d1-99df-8ec857b3195a%2Ffaa65f80-3193-4efc-8eae-8ebcaffc6cd9%2Fkgwh57y_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Next, you will be implementing the high_contrast
function. This produces an image with high contrast
values by forcing each color to be at either 0 or 255 -
meaning that pixels will likely be either very bright or
very dark. To do this, for every pixel, we'll take each
color value and apply the following transformation:
If the number is less than or equal to 127, set it to
0.
If the number is greater than or equal to 128, set it
to 255.
Examples:
>>> high_contrast([[[127, 127, 127], [0,
0, 0]],
[[255, 255, 0], [50, 128, 255]],
[[0, 0, 255], [0, 255, 0]],
[[255, 0, 0], [255, 255, 255]]])
[[[0, 0, 0], [0, 0, 0]],
[[255, 255, 0], [0, 255, 255]],
[[0, 0, 255], [0, 255, 0]],
[[255, 0, 0], [255, 255, 255]]]
>>> high_contrast([[[36, 155, 90], [63,
208, 208], [151, 3, 14]],
[[53, 204, 53], [99, 103, 10], [94, 138,
216]]])
[[[0, 255, 0], [0, 255, 255], [255, 0,
0]],
[[0, 255, 0], [0, 0, 0], [0, 255, 255]]]
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