Due: 4:00 p.m., Tuesday, 18 September 2007
No extensions!
This homework is also available in PDF.
Summary: In this assignment, you will build a number of
simple filters.
Purposes:
To reinforce the basic concepts of anonymous functions. (After all,
practice makes perfect.) To bridge concepts from color theory into
the course. To give you the opportunity to explore the algorithms
for somewhat more complex transformations
Expected Time: 1-2 hours (for those who completed most
of the lab on anonymous procedures); 2-3 hours (for those who did not)
Collaboration:
You must work in a group of size two or three. You may discuss this
assignment and possible solutions with anyone you wish. If you discuss
this assignment with people other than group members, make sure to include
a citation (e.g., I consulted this person, who helped me
do this
).
Submitting:
Email me your answer.
More details below.
Warning: So that this assignment is a learning experience
for everyone, I may spend class time publicly critiquing your work.
Contents:
Complete Exercise 6 from the lab on writing anonymous procedures.
Complete Exercise 3 from the lab on writing anonymous procedures.
Older photographs are not black and white, but rather closer to brown and white,
due to some combination of the chemicals used to make images and the ravages of
time. (Sorry, I don't know what old photographs looked like when they were
new.) Some people like the aged look of sepia-toned images enough to desire
them.
To produce a sepia-tone image, start with a grayscale image you created with the code from Part B. Then, write a new instruction to transform the grayscale image so that black becomes sepia (a very dark brown), while white remains white.
How can we accomplish this? We want to adjust the colors in the image so that every pixel has a red component that is at least as large as the red component of sepia. But, so that we don't lose distinctions between bright pixels in the image, the red component should not be 255 (the maximum) unless it was 255 in the original image. Numbers in between should be scaled appropriately. Similarly for the green and blue components.
There is not a color named "sepia" in the color name list, but
(define sepia (cname->rgb "bakers chocolate"))
gives a pretty good approximation.
If you write your instructions well, you should be able to replace sepia with another dark color (and thus get a green-scale or blue-scale image, for example).
The last part specified that "white remains white." What if we used a light color instead of white, and a dark color instead of black? In effect, we transform white to that light color, black to a dark color, and shades of grey to intermediates between the light and dark colors..
Define dark to be a dark color of your choice and light to be a light color of your choice. Write a Scheme instruction to transform the grayscale image such that black is transformed to dark, white is transformed to light, and the colors in between are scaled appropriately. Your instructions from Part C should be a helpful starting place.
Find a compelling pair of colors to use with your color-blend filter from Part D. Try to describe the color scheme using the color theory terminology we learned from Professor Kluber.
I will primarily look at whether your instructions are correct, automatic, and general. Since many of you have been negligent in writing general code, I will
pay particular attention to the generality of your code: How easy will it be
to change your program to do something similar?
I am also likely to consider at the formatting and readability of your code.
Please submit this work via email. The email
should be titled CSC151.02 Assignment 06 and should contain your
answers to all parts of this assignment. Make sure to include your
answer to Part E. You need not attach any images, but I may ask you to
demonstrate them in class.
Please send your work as the body of an email message. I don't like
attachments, and prefer not to receive them when they can be
avoided.
Thursday, 13 September 2007 [Janet Davis]
Friday, 14 September 2007 [Samuel A. Rebelsky]
- Adapted for my version of the course.
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