In this assignment, both undergraduates and graduates will get comfortable working with different filters to process images. However, both groups will accomplish this by implementing different techniques.

Undergraduate students:

Graduate students:

Submission

You should use git to submit all source code files. The expectation is that your code will be graded by cloning your repo and then executing it within a modern browser (Chrome, Firefox, etc.)

Please provide a README.md file that provides a text description of how to run your program and any parameters that you used. Also document any idiosyncrasies, behaviors, or bugs of note that you want us to be aware of.

To summarize, my expectation is that your repo will contain:

  1. A README.md file
  2. Answers to the written questions in a separate directory named written
  3. A index.html file
  4. A a02.js file
  5. Any other .js files that you authored.
  6. (Optionally) any other test images that you want.

Grading

Please see the individual assignment descriptions for a detailed grading rubric.

Extra Credit

Implementing features above and beyond the specification may result in extra credit, please document these in your README.md.

Furthermore, students in 433 are encouraged to attempt the programming portion of the 533 assignment, and vice versa! For students in 433, completing the tone mapping features are worth up to an extra 10%. For students in 533, completing the image filtering program is also worth up to an extra 10%.

To submit, please create a repo using the appropriate link above (e.g. a student in 433 would submit their 433 project through the usual 433 link and their 533 project through the same 533 link). Do not submit answers to the written questions twice, as these are not eligible for extra credit.