package o1.hofuncs
import o1.*

// This program is introduced in Chapter 6.1.

// FIRST, READ THE INTRODUCTION TO THIS TASK IN THE EBOOK CHAPTER.
// Then reveal the hidden image:
//
// 1. Define a function for revealing a single pixel. Pick a name for it.
//    It should take a Color and return a Color that is equal to the given
//    one except that the green component is zero. This will eliminate the
//    green noise.
//
// 2. Use transformColors to apply your function to every pixel in
//    scrambledPic. (The appropriate line of code is indicated below.)
//
// 3. Run the program. It displays the scrambled image. Click it.
//    A dark black rectangle should show up. This is the output of your
//    (incomplete) filter. The resulting image is black because all that
//    remains are the red components of each pixel and they have very small
//    values. However, if you peer closely, you may be able to see some red
//    tones, perhaps even the outline of a person near the middle of the image.
//
// 4. Amplify the red component: modify your function so that it multiplies
//    the red component by ten. Run the program again and voilà!

@main def task2() =
  val scrambledPic = Pic("hidden1.png")
  val solvedPic = scrambledPic // TODO: should use transformColors to reveal the hidden image
  launchUnscramblerGUI(scrambledPic, solvedPic)





// The hidden image is based on a photo by Duane Wessels, published under CC (http://creativecommons.org/licenses/by-nc-sa/3.0/). This program is in the public domain.